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Top 150 Mechanical Engineering Research Topics [Updated]

Mechanical engineering is an intriguing discipline that holds significant sway in shaping our world. With a focus on crafting inventive machinery and fostering sustainable energy initiatives, mechanical engineers stand as pioneers in driving technological progress. However, to make meaningful contributions to the field, researchers must carefully choose their topics of study. In this blog, we’ll delve into various mechanical engineering research topics, ranging from fundamental principles to emerging trends and interdisciplinary applications.

How to Select Mechanical Engineering Research Topics?

Table of Contents

Selecting the right mechanical engineering research topics is crucial for driving impactful innovation and addressing pressing challenges. Here’s a step-by-step guide to help you choose the best research topics:

• Identify Your Interests: Start by considering your passions and areas of expertise within mechanical engineering. What topics excite you the most? Choosing a subject that aligns with your interests will keep you motivated throughout the research process.
• Assess Current Trends: Stay updated on the latest developments and trends in mechanical engineering. Look for emerging technologies, pressing industry challenges, and areas with significant research gaps. These trends can guide you towards relevant and timely research topics.
• Conduct Literature Review: Dive into existing literature and research papers within your field of interest. Identify gaps in knowledge, unanswered questions, or areas that warrant further investigation. Building upon existing research can lead to more impactful contributions to the field.
• Consider Practical Applications: Evaluate the practical implications of potential research topics. How will your research address real-world problems or benefit society? Choosing topics with tangible applications can increase the relevance and impact of your research outcomes.
• Consult with Advisors and Peers: Seek guidance from experienced mentors, advisors, or peers in the field of mechanical engineering. Discuss your research interests and potential topics with them to gain valuable insights and feedback. Their expertise can help you refine your ideas and select the most promising topics.
• Define Research Objectives: Clearly define the objectives and scope of your research. What specific questions do you aim to answer or problems do you intend to solve? Establishing clear research goals will guide your topic selection process and keep your project focused.
• Consider Resources and Constraints: Take into account the resources, expertise, and time available for your research. Choose topics that are feasible within your constraints and align with your available resources. Balancing ambition with practicality is essential for successful research endeavors.
• Brainstorm and Narrow Down Options: Generate a list of potential research topics through brainstorming and exploration. Narrow down your options based on criteria such as relevance, feasibility, and alignment with your interests and goals. Choose the most promising topics that offer ample opportunities for exploration and discovery.
• Seek Feedback and Refinement: Once you’ve identified potential research topics, seek feedback from colleagues, advisors, or experts in the field. Refine your ideas based on their input and suggestions. Iteratively refining your topic selection process will lead to a more robust and well-defined research proposal.
• Stay Flexible and Open-Minded: Remain open to new ideas and opportunities as you progress through the research process. Be willing to adjust your research topic or direction based on new insights, challenges, or discoveries. Flexibility and adaptability are key qualities for successful research endeavors in mechanical engineering.

By following these steps and considering various factors, you can effectively select mechanical engineering research topics that align with your interests, goals, and the needs of the field.

Top 50 Mechanical Engineering Research Topics For Beginners

• Analysis of the efficiency of different heat exchanger designs.
• Optimization of airfoil shapes for enhanced aerodynamic performance.
• Investigation of renewable energy harvesting using piezoelectric materials.
• Development of smart materials for adaptive structures in aerospace applications.
• Study of vibration damping techniques for improving vehicle ride comfort.
• Design and optimization of suspension systems for off-road vehicles.
• Analysis of fluid flow characteristics in microchannels for cooling electronics.
• Evaluation of the performance of different brake systems in automotive vehicles.
• Development of lightweight materials for automotive and aerospace industries.
• Investigation of the effects of friction stir welding parameters on joint properties.
• Design and testing of a small-scale wind turbine for rural electrification.
• Study of the dynamics of flexible multibody systems in robotics.
• Development of a low-cost prosthetic limb using 3D printing technology.
• Analysis of heat transfer in electronic packaging for thermal management.
• Investigation of energy harvesting from vehicle suspension systems.
• Design and optimization of heat sinks for electronic cooling applications.
• Study of material degradation in composite structures under various loading conditions.
• Development of bio-inspired robotic mechanisms for locomotion.
• Investigation of the performance of regenerative braking systems in electric vehicles.
• Design and analysis of an autonomous agricultural robot for crop monitoring.
• Optimization of gas turbine blade profiles for improved efficiency.
• Study of the aerodynamics of animal-inspired flying robots (bio-drones).
• Development of advanced control algorithms for robotic manipulators.
• Analysis of wear mechanisms in mechanical components under different operating conditions.
• Investigation of the efficiency of solar water heating systems.
• Design and optimization of microfluidic devices for biomedical applications.
• Study of the effects of additive manufacturing parameters on part quality.
• Development of assistive devices for individuals with disabilities.
• Analysis of the performance of different types of bearings in rotating machinery.
• Investigation of the feasibility of using shape memory alloys in actuator systems.
• Design and optimization of a compact heat exchanger for space applications.
• Study of the effects of surface roughness on friction and wear in sliding contacts.
• Development of energy-efficient HVAC systems for buildings.
• Analysis of the performance of different types of fuel cells for power generation.
• Investigation of the feasibility of using biofuels in internal combustion engines.
• Design and testing of a micro-scale combustion engine for portable power generation.
• Study of the mechanics of soft materials for biomedical applications.
• Development of exoskeletons for rehabilitation and assistance in mobility.
• Analysis of the effects of vehicle aerodynamics on fuel consumption.
• Investigation of the potential of ocean wave energy harvesting technologies.
• Design and optimization of energy-efficient refrigeration systems.
• Study of the dynamics of flexible structures subjected to dynamic loads.
• Development of sensors and actuators for structural health monitoring.
• Analysis of the performance of different cooling techniques in electronics.
• Investigation of the potential of hydrogen fuel cells for automotive applications.
• Design and testing of a small-scale hydroelectric power generator.
• Study of the mechanics of cellular materials for impact absorption.
• Development of unmanned aerial vehicles (drones) for environmental monitoring.
• Analysis of the efficiency of different propulsion systems in space exploration.
• Investigation of the potential of micro-scale energy harvesting technologies for powering wireless sensors.

Top 50 Mechanical Engineering Research Topics For Intermediate

• Optimization of heat exchanger designs for enhanced energy efficiency.
• Investigating the effects of surface roughness on fluid flow in microchannels.
• Development of lightweight materials for automotive applications.
• Modeling and simulation of combustion processes in internal combustion engines.
• Design and analysis of novel wind turbine blade configurations.
• Study of advanced control strategies for unmanned aerial vehicles (UAVs).
• Analysis of wear and friction in mechanical components under varying operating conditions.
• Investigation of thermal management techniques for high-power electronic devices.
• Development of smart materials for shape memory alloys in actuator applications.
• Design and fabrication of microelectromechanical systems (MEMS) for biomedical applications.
• Optimization of additive manufacturing processes for metal 3D printing.
• Study of fluid-structure interaction in flexible marine structures.
• Analysis of fatigue behavior in composite materials for aerospace applications.
• Development of energy harvesting technologies for sustainable power generation.
• Investigation of bio-inspired robotics for locomotion in challenging environments.
• Study of human factors in the design of ergonomic workstations.
• Design and control of soft robots for delicate manipulation tasks.
• Development of advanced sensor technologies for condition monitoring in rotating machinery.
• Analysis of aerodynamic performance in hypersonic flight vehicles.
• Study of regenerative braking systems for electric vehicles.
• Optimization of cooling systems for high-performance computing (HPC) applications.
• Investigation of fluid dynamics in microfluidic devices for lab-on-a-chip applications.
• Design and optimization of passive and active vibration control systems.
• Analysis of heat transfer mechanisms in nanofluids for thermal management.
• Development of energy-efficient HVAC (heating, ventilation, and air conditioning) systems.
• Study of biomimetic design principles for robotic grippers and manipulators.
• Investigation of hydrodynamic performance in marine propeller designs.
• Development of autonomous agricultural robots for precision farming.
• Analysis of wind-induced vibrations in tall buildings and bridges.
• Optimization of material properties for additive manufacturing of aerospace components.
• Study of renewable energy integration in smart grid systems.
• Investigation of fracture mechanics in brittle materials for structural integrity assessment.
• Development of wearable sensors for human motion tracking and biomechanical analysis.
• Analysis of combustion instability in gas turbine engines.
• Optimization of thermal insulation materials for building energy efficiency.
• Study of fluid-structure interaction in flexible wing designs for unmanned aerial vehicles.
• Investigation of heat transfer enhancement techniques in heat exchanger surfaces.
• Development of microscale actuators for micro-robotic systems.
• Analysis of energy storage technologies for grid-scale applications.
• Optimization of manufacturing processes for lightweight automotive structures.
• Study of tribological behavior in lubricated mechanical systems.
• Investigation of fault detection and diagnosis techniques for industrial machinery.
• Development of biodegradable materials for sustainable packaging applications.
• Analysis of heat transfer in porous media for thermal energy storage.
• Optimization of control strategies for robotic manipulation tasks in uncertain environments.
• Study of fluid dynamics in fuel cell systems for renewable energy conversion.
• Investigation of fatigue crack propagation in metallic alloys.
• Development of energy-efficient propulsion systems for unmanned underwater vehicles (UUVs).
• Analysis of airflow patterns in natural ventilation systems for buildings.
• Optimization of material selection for additive manufacturing of biomedical implants.

Top 50 Mechanical Engineering Research Topics For Advanced

• Development of advanced materials for high-temperature applications
• Optimization of heat exchanger design using computational fluid dynamics (CFD)
• Control strategies for enhancing the performance of micro-scale heat transfer devices
• Multi-physics modeling and simulation of thermoelastic damping in MEMS/NEMS devices
• Design and analysis of next-generation turbofan engines for aircraft propulsion
• Investigation of advanced cooling techniques for electronic devices in harsh environments
• Development of novel nanomaterials for efficient energy conversion and storage
• Optimization of piezoelectric energy harvesting systems for powering wireless sensor networks
• Investigation of microscale heat transfer phenomena in advanced cooling technologies
• Design and optimization of advanced composite materials for aerospace applications
• Development of bio-inspired materials for impact-resistant structures
• Exploration of advanced manufacturing techniques for producing complex geometries in aerospace components
• Integration of artificial intelligence algorithms for predictive maintenance in rotating machinery
• Design and optimization of advanced robotics systems for industrial automation
• Investigation of friction and wear behavior in advanced lubricants for high-speed applications
• Development of smart materials for adaptive structures and morphing aircraft wings
• Exploration of advanced control strategies for active vibration damping in mechanical systems
• Design and analysis of advanced wind turbine blade designs for improved energy capture
• Investigation of thermal management solutions for electric vehicle batteries
• Development of advanced sensors for real-time monitoring of structural health in civil infrastructure
• Optimization of additive manufacturing processes for producing high-performance metallic components
• Investigation of advanced corrosion-resistant coatings for marine applications
• Design and analysis of advanced hydraulic systems for heavy-duty machinery
• Exploration of advanced filtration technologies for water purification and wastewater treatment
• Development of advanced prosthetic limbs with biomimetic functionalities
• Investigation of microscale fluid flow phenomena in lab-on-a-chip devices for medical diagnostics
• Optimization of heat transfer in microscale heat exchangers for cooling electronics
• Development of advanced energy-efficient HVAC systems for buildings
• Exploration of advanced propulsion systems for space exploration missions
• Investigation of advanced control algorithms for autonomous vehicles in complex environments
• Development of advanced surgical robots for minimally invasive procedures
• Optimization of advanced suspension systems for improving vehicle ride comfort and handling
• Investigation of advanced materials for 3D printing in aerospace manufacturing
• Development of advanced thermal barrier coatings for gas turbine engines
• Exploration of advanced wear-resistant coatings for cutting tools in machining applications
• Investigation of advanced nanofluids for enhanced heat transfer in cooling applications
• Development of advanced biomaterials for tissue engineering and regenerative medicine
• Exploration of advanced actuators for soft robotics applications
• Investigation of advanced energy storage systems for grid-scale applications
• Development of advanced rehabilitation devices for individuals with mobility impairments
• Exploration of advanced materials for earthquake-resistant building structures
• Investigation of advanced aerodynamic concepts for reducing drag and improving fuel efficiency in vehicles
• Development of advanced microelectromechanical systems (MEMS) for biomedical applications
• Exploration of advanced control strategies for unmanned aerial vehicles (UAVs)
• Investigation of advanced materials for lightweight armor systems
• Development of advanced prosthetic interfaces for improving user comfort and functionality
• Exploration of advanced algorithms for autonomous navigation of underwater vehicles
• Investigation of advanced sensors for detecting and monitoring air pollution
• Development of advanced energy harvesting systems for powering wireless sensor networks
• Exploration of advanced concepts for next-generation space propulsion systems.

Mechanical engineering research encompasses a wide range of topics, from fundamental principles to cutting-edge technologies and interdisciplinary applications. By choosing the right mechanical engineering research topics and addressing key challenges, researchers can contribute to advancements in various industries and address pressing global issues. As we look to the future, the possibilities for innovation and discovery in mechanical engineering are endless, offering exciting opportunities to shape a better world for generations to come.

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Identifying Non-Technical Skill Gaps in Software Engineering Education: What Experts Expect But Students Don’t Learn

As the importance of non-technical skills in the software engineering industry increases, the skill sets of graduates match less and less with industry expectations. A growing body of research exists that attempts to identify this skill gap. However, only few so far explicitly compare opinions of the industry with what is currently being taught in academia. By aggregating data from three previous works, we identify the three biggest non-technical skill gaps between industry and academia for the field of software engineering: devoting oneself to continuous learning , being creative by approaching a problem from different angles , and thinking in a solution-oriented way by favoring outcome over ego . Eight follow-up interviews were conducted to further explore how the industry perceives these skill gaps, yielding 26 sub-themes grouped into six bigger themes: stimulating continuous learning , stimulating creativity , creative techniques , addressing the gap in education , skill requirements in industry , and the industry selection process . With this work, we hope to inspire educators to give the necessary attention to the uncovered skills, further mitigating the gap between the industry and the academic world.

Opportunities and Challenges in Code Search Tools

Code search is a core software engineering task. Effective code search tools can help developers substantially improve their software development efficiency and effectiveness. In recent years, many code search studies have leveraged different techniques, such as deep learning and information retrieval approaches, to retrieve expected code from a large-scale codebase. However, there is a lack of a comprehensive comparative summary of existing code search approaches. To understand the research trends in existing code search studies, we systematically reviewed 81 relevant studies. We investigated the publication trends of code search studies, analyzed key components, such as codebase, query, and modeling technique used to build code search tools, and classified existing tools into focusing on supporting seven different search tasks. Based on our findings, we identified a set of outstanding challenges in existing studies and a research roadmap for future code search research.

Psychometrics in Behavioral Software Engineering: A Methodological Introduction with Guidelines

A meaningful and deep understanding of the human aspects of software engineering (SE) requires psychological constructs to be considered. Psychology theory can facilitate the systematic and sound development as well as the adoption of instruments (e.g., psychological tests, questionnaires) to assess these constructs. In particular, to ensure high quality, the psychometric properties of instruments need evaluation. In this article, we provide an introduction to psychometric theory for the evaluation of measurement instruments for SE researchers. We present guidelines that enable using existing instruments and developing new ones adequately. We conducted a comprehensive review of the psychology literature framed by the Standards for Educational and Psychological Testing. We detail activities used when operationalizing new psychological constructs, such as item pooling, item review, pilot testing, item analysis, factor analysis, statistical property of items, reliability, validity, and fairness in testing and test bias. We provide an openly available example of a psychometric evaluation based on our guideline. We hope to encourage a culture change in SE research towards the adoption of established methods from psychology. To improve the quality of behavioral research in SE, studies focusing on introducing, validating, and then using psychometric instruments need to be more common.

Towards an Anatomy of Software Craftsmanship

Context: The concept of software craftsmanship has early roots in computing, and in 2009, the Manifesto for Software Craftsmanship was formulated as a reaction to how the Agile methods were practiced and taught. But software craftsmanship has seldom been studied from a software engineering perspective. Objective: The objective of this article is to systematize an anatomy of software craftsmanship through literature studies and a longitudinal case study. Method: We performed a snowballing literature review based on an initial set of nine papers, resulting in 18 papers and 11 books. We also performed a case study following seven years of software development of a product for the financial market, eliciting qualitative, and quantitative results. We used thematic coding to synthesize the results into categories. Results: The resulting anatomy is centered around four themes, containing 17 principles and 47 hierarchical practices connected to the principles. We present the identified practices based on the experiences gathered from the case study, triangulating with the literature results. Conclusion: We provide our systematically derived anatomy of software craftsmanship with the goal of inspiring more research into the principles and practices of software craftsmanship and how these relate to other principles within software engineering in general.

On the Reproducibility and Replicability of Deep Learning in Software Engineering

Context: Deep learning (DL) techniques have gained significant popularity among software engineering (SE) researchers in recent years. This is because they can often solve many SE challenges without enormous manual feature engineering effort and complex domain knowledge. Objective: Although many DL studies have reported substantial advantages over other state-of-the-art models on effectiveness, they often ignore two factors: (1) reproducibility —whether the reported experimental results can be obtained by other researchers using authors’ artifacts (i.e., source code and datasets) with the same experimental setup; and (2) replicability —whether the reported experimental result can be obtained by other researchers using their re-implemented artifacts with a different experimental setup. We observed that DL studies commonly overlook these two factors and declare them as minor threats or leave them for future work. This is mainly due to high model complexity with many manually set parameters and the time-consuming optimization process, unlike classical supervised machine learning (ML) methods (e.g., random forest). This study aims to investigate the urgency and importance of reproducibility and replicability for DL studies on SE tasks. Method: In this study, we conducted a literature review on 147 DL studies recently published in 20 SE venues and 20 AI (Artificial Intelligence) venues to investigate these issues. We also re-ran four representative DL models in SE to investigate important factors that may strongly affect the reproducibility and replicability of a study. Results: Our statistics show the urgency of investigating these two factors in SE, where only 10.2% of the studies investigate any research question to show that their models can address at least one issue of replicability and/or reproducibility. More than 62.6% of the studies do not even share high-quality source code or complete data to support the reproducibility of their complex models. Meanwhile, our experimental results show the importance of reproducibility and replicability, where the reported performance of a DL model could not be reproduced for an unstable optimization process. Replicability could be substantially compromised if the model training is not convergent, or if performance is sensitive to the size of vocabulary and testing data. Conclusion: It is urgent for the SE community to provide a long-lasting link to a high-quality reproduction package, enhance DL-based solution stability and convergence, and avoid performance sensitivity on different sampled data.

Predictive Software Engineering: Transform Custom Software Development into Effective Business Solutions

The paper examines the principles of the Predictive Software Engineering (PSE) framework. The authors examine how PSE enables custom software development companies to offer transparent services and products while staying within the intended budget and a guaranteed budget. The paper will cover all 7 principles of PSE: (1) Meaningful Customer Care, (2) Transparent End-to-End Control, (3) Proven Productivity, (4) Efficient Distributed Teams, (5) Disciplined Agile Delivery Process, (6) Measurable Quality Management and Technical Debt Reduction, and (7) Sound Human Development.

Software—A New Open Access Journal on Software Engineering

Software (ISSN: 2674-113X) [...]

Improving bioinformatics software quality through incorporation of software engineering practices

Background Bioinformatics software is developed for collecting, analyzing, integrating, and interpreting life science datasets that are often enormous. Bioinformatics engineers often lack the software engineering skills necessary for developing robust, maintainable, reusable software. This study presents review and discussion of the findings and efforts made to improve the quality of bioinformatics software. Methodology A systematic review was conducted of related literature that identifies core software engineering concepts for improving bioinformatics software development: requirements gathering, documentation, testing, and integration. The findings are presented with the aim of illuminating trends within the research that could lead to viable solutions to the struggles faced by bioinformatics engineers when developing scientific software. Results The findings suggest that bioinformatics engineers could significantly benefit from the incorporation of software engineering principles into their development efforts. This leads to suggestion of both cultural changes within bioinformatics research communities as well as adoption of software engineering disciplines into the formal education of bioinformatics engineers. Open management of scientific bioinformatics development projects can result in improved software quality through collaboration amongst both bioinformatics engineers and software engineers. Conclusions While strides have been made both in identification and solution of issues of particular import to bioinformatics software development, there is still room for improvement in terms of shifts in both the formal education of bioinformatics engineers as well as the culture and approaches of managing scientific bioinformatics research and development efforts.

Inter-team communication in large-scale co-located software engineering: a case study

AbstractLarge-scale software engineering is a collaborative effort where teams need to communicate to develop software products. Managers face the challenge of how to organise work to facilitate necessary communication between teams and individuals. This includes a range of decisions from distributing work over teams located in multiple buildings and sites, through work processes and tools for coordinating work, to softer issues including ensuring well-functioning teams. In this case study, we focus on inter-team communication by considering geographical, cognitive and psychological distances between teams, and factors and strategies that can affect this communication. Data was collected for ten test teams within a large development organisation, in two main phases: (1) measuring cognitive and psychological distance between teams using interactive posters, and (2) five focus group sessions where the obtained distance measurements were discussed. We present ten factors and five strategies, and how these relate to inter-team communication. We see three types of arenas that facilitate inter-team communication, namely physical, virtual and organisational arenas. Our findings can support managers in assessing and improving communication within large development organisations. In addition, the findings can provide insights into factors that may explain the challenges of scaling development organisations, in particular agile organisations that place a large emphasis on direct communication over written documentation.

Aligning Software Engineering and Artificial Intelligence With Transdisciplinary

Study examined AI and SE transdisciplinarity to find ways of aligning them to enable development of AI-SE transdisciplinary theory. Literature review and analysis method was used. The findings are AI and SE transdisciplinarity is tacit with islands within and between them that can be linked to accelerate their transdisciplinary orientation by codification, internally developing and externally borrowing and adapting transdisciplinary theories. Lack of theory has been identified as the major barrier toward towards maturing the two disciplines as engineering disciplines. Creating AI and SE transdisciplinary theory would contribute to maturing AI and SE engineering disciplines.  Implications of study are transdisciplinary theory can support mode 2 and 3 AI and SE innovations; provide an alternative for maturing two disciplines as engineering disciplines. Study’s originality it’s first in SE, AI or their intersections.

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Industrial Engineering and Applications – Europe

11th International Conference, ICIEA-EU 2024, Nice, France, January 10–12, 2024, Revised Selected Papers

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Asian University, Taichung, Taiwan

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Part of the book series: Lecture Notes in Business Information Processing (LNBIP, volume 507)

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Table of contents (19 papers)

Front matter, cost-optimization of condition-based maintenance policies for a two-component machine system with general repairs and process rejects.

• Kevin Kenneth Kwan, Simon Anthony Lorenzo, Iris Ann Martinez

Determination of Skilled Worker Requirements for Maintenance Departments Under Stochastic Failure Mode Conditions

• Sahin Furkan Sahiner, Onur Golbasi

Empirical Findings on the Current State of Industrial Production Management Systems in the Context of Increasing Digitalization

• Stefan Schmid, Herwig Winkler

Process Improvement of Taping for an Assembly Electrical Wiring Harness

• Ikhlef Jebbor, Youssef Raouf, Zoubida Benmamoun, Hanaa Hachimi

Use of Artificial Intelligence in Occupational Health and Safety in Construction Industry: A Proposed Framework for Saudi Arabia

• Shabir Hussain Khahro, Qasim Hussain Khahro

Path Score Based Approach for Deriving Machine Sequence in Multistage Process

• Sugyeong Lee, Dong-Hee Lee

A Traffic Signal Timing Model with Consideration on Road Configurations, Phase Planning, and Conflict Points at a Signalized T-Intersection Road

• Ma. Dominique M. Soriano, Ronaldo V. Polancos

Lateral Stability Control for Four Independent Wheel Vehicles Considering the Surrounding Condition

• Jinghua Zhang, Lifeng Ding, Junjian Chen, Lei Yue

Design of an Interactive Scheduling Heuristic-Based Application

• Edmond Duay, Gene Mark Gondraneos, Karisha Ann Indino-Pineda, Rosemary Seva

A New Data-Driven Modelling Framework for Moisture Content Prediction in Continuous Pharmaceutical Tablet Manufacturing

• Motaz Deebes, Mahdi Mahfouf, Chalak Omar

Solving the Car Sequencing Problem with Cross-Ratio Constraints Using Constraint Programming Approach

• Sana Jalilvand, Ali Bozorgi-Amiri, Mehdi Mamoodjanloo, Armand Baboli

Picking Optimization in U-Shaped Corridors with a Movable Depot

• Roberto Montemanni, Agnese Cervino, Francesco Lolli

Sustainable and Energy-Efficient Industrial Systems: Modelling the Environmental Impact of Logistics Facilities

• S. Perotti, L. Cannava, B. Najafi, E. Gronda, F. Rinaldi

Zero-Inflated Poisson Tensor Factorization for Sparse Purchase Data in E-Commerce Markets

• Keisuike Mizutani, Ayaka Ueta, Ryota Ueda, Ray Oishi, Tomofumi Hara, Yuki Hoshino et al.

Hybrid Predictive Modeling for Automotive After-Sales Pricing: Integrating BiLSTM-Attention and Fuzzy Logic

• Asmae Amellal, Issam Amellal, Mohammed Rida Ech-charrat

Full-Length Hardness Prediction in Wire Rod Manufacturing Using Semantic Segmentation of Thermal Images

• Seok-Kyu Pyo, Sung-Jun Hur, Dong-Hee Lee, Sang-Hyeon Lee, Sung-Jun Lim, Jong-Eun Lee et al.

Industrial Object Detection: Leveraging Synthetic Data for Training Deep Learning Models

• Sarah Ouarab, Rémi Boutteau, Katerine Romeo, Christele Lecomte, Aristid Laignel, Nicolas Ragot et al.

A Multi-step Approach for Identifying Unknown Defect Patterns on Wafer Bin Map

• Jin-Su Shin, Dong-Hee Lee

Synthetic Datasets for 6D Pose Estimation of Industrial Objects: Framework, Benchmark and Guidelines

• Aristide Laignel, Nicolas Ragot, Fabrice Duval, Sarah Ouarab

Other volumes

• control models and system analysis in industrial engineering
• pricing strategies
• production planning
• decision support systems

About this book

This book constitutes the refereed post-proceedings of the 11th International Conference on Industrial Engineering and Applications, ICIEA 2024, held in Nice, France, during January 10-12, 2024.

The 16 full papers and 3 short papers included in this book were carefully reviewed and selected from 90 submissions. They focus on the most recent and relevant research, theories and practices in industrial engineering and its applications. 

Editors and Affiliations

Shey-Huei Sheu

Bibliographic Information

Book Title : Industrial Engineering and Applications – Europe

Book Subtitle : 11th International Conference, ICIEA-EU 2024, Nice, France, January 10–12, 2024, Revised Selected Papers

Editors : Shey-Huei Sheu

Series Title : Lecture Notes in Business Information Processing

DOI : https://doi.org/10.1007/978-3-031-58113-7

Publisher : Springer Cham

eBook Packages : Computer Science , Computer Science (R0)

Copyright Information : The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024

Softcover ISBN : 978-3-031-58112-0 Published: 11 May 2024

eBook ISBN : 978-3-031-58113-7 Published: 10 May 2024

Series ISSN : 1865-1348

Series E-ISSN : 1865-1356

Edition Number : 1

Number of Pages : X, 244

Number of Illustrations : 25 b/w illustrations, 102 illustrations in colour

Topics : Computer Applications , Control, Robotics, Mechatronics , Industrial and Production Engineering , IT in Business

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Electrical Engineering and Systems Science > Image and Video Processing

Title: a method for supervoxel-wise association studies of age and other non-imaging variables from coronary computed tomography angiograms.

Abstract: The study of associations between an individual's age and imaging and non-imaging data is an active research area that attempts to aid understanding of the effects and patterns of aging. In this work we have conducted a supervoxel-wise association study between both volumetric and tissue density features in coronary computed tomography angiograms and the chronological age of a subject, to understand the localized changes in morphology and tissue density with age. To enable a supervoxel-wise study of volume and tissue density, we developed a novel method based on image segmentation, inter-subject image registration, and robust supervoxel-based correlation analysis, to achieve a statistical association study between the images and age. We evaluate the registration methodology in terms of the Dice coefficient for the heart chambers and myocardium, and the inverse consistency of the transformations, showing that the method works well in most cases with high overlap and inverse consistency. In a sex-stratified study conducted on a subset of $n=1388$ images from the SCAPIS study, the supervoxel-wise analysis was able to find localized associations with age outside of the commonly segmented and analyzed sub-regions, and several substantial differences between the sexes in association of age and volume.

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Chemical engineering articles from across Nature Portfolio

Chemical engineering is a branch of engineering that deals with the processes (production, transformation, transportation and usage) necessary to produce useful materials and energy. Chemical engineers apply knowledge from the physical and biological sciences as well as mathematics and economics.

Enzymatic method for the conversion of carbon monoxide from industrial off-gases into formate

Decarbonizing the steel industry is crucial but challenging. Now, an enzymatic method is introduced for converting carbon monoxide from industrial off-gases into formate, offering a path towards carbon-neutral steel production. The enzymatic process achieves high selectivity, and operation of a 10-liter-scale reactor with real industrial emissions indicates its scalability and practical applicability.

Solvent reorganization model takes the lead

Accurately modeling CO 2 electroreduction is key to advancing the technology and understanding its productivity and CO 2 utilization trends. Now, Marcus–Hush–Chidsey theory offers accurate predictions of experimental results, leading to further insights beyond reaction kinetics.

• Ahmad Elgazzar
• Haotian Wang

Integrating industrial sectors in the transition to more sustainable chemicals

Transitioning to more sustainable chemicals will require the challenging replacement of fossil resources with renewable carbon and energy sources in their production. Now, integrating industrial sectors offers an interim solution to mitigate emissions in the chemical industry until technologies for closing the carbon loop can be deployed at scale.

• Gonzalo Guillén-Gosálbez
• Lucas Francisco dos Santos

Latest Research and Reviews

Influence of biochar on the removal of Microcystin-LR and Saxitoxin from aqueous solutions

• Cadianne Chambers
• Savannah Grimes
• M. Toufiq Reza

Enabling CO 2 neutral metallurgy for ferrochromium production using bio-based reducing agents

• Marcus Sommerfeld
• Roberta Botinha
• Bernd Friedrich

Development of catalytic zero-valent iron incorporated PAN catalytic film for efficient degradation of organic matters

• J. Paul Chen

Electrochemical-repaired porous graphene membranes for precise ion-ion separation

The preparation of atom-thick lattices with Å-scale pores is desirable for achieving ion selectivity and high ion flux. Here authors present a cm-scale membrane made of atom-thick graphene film hosting zero-dimensional pores spanning only a few Å, repaired using an in situ electrochemical strategy, yielding high Li + /Mg 2+ separation performance.

• Zongyao Zhou
• Kangning Zhao
• Kumar Varoon Agrawal

Leaching of NMC industrial black mass in the presence of LFP

• Yuanmin Zou
• Alexander Chernyaev
• Mari Lundström

Investigation of ionic liquid adsorption and interfacial tension reduction using different crude oils; effects of salts, ionic liquid, and pH

• Mojtaba Khosravani
• Naser Akhlaghi
• Seyednooroldin Hosseini

News and Comment

High-throughput characterization is key to report reliable organic thin-film transistor performance.

Developing circuits for flexible and stretchable devices demands not only high performance but also reliable and predictable components, such as organic thin-film transistors. High-throughput characterization is required to build reliable structure–property relationships, which are critical for the commercialization of new materials.

• Joseph Manion
• Benoît H. Lessard

A changing paradigm in industrial pharmaceutical crystallization

Crystallization plays a pivotal role in the manufacturing of pharmaceuticals. This Comment briefly reflects on past achievements and emerging opportunities in industrial crystallization, particularly considering increasing molecular and system complexities.

• Stefani Kocevska
• Christopher L. Burcham
• Giovanni Maria Maggioni

Printed circuit boards made greener

Achieving a circular system for electronics hinges on greener design and effective recycling methods. Now, research presents a more durable printed circuit board that can also be sustainably and effectively recycled.

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SWE Magazine Publishes 2023 Engineering Literature Review

• May 13, 2024
• Member News

A review of 372 peer-reviewed journal articles and conference proceedings that relate to girls and women in engineering and STEM found that systemic injustices were still prevalent and negatively impact many women seeking to make a contribution to the profession.

The findings are part of an annual issue of the SWE Magazine review of published research on women in engineering and STEM. You can read the literature review online .

The issue was edited by co-authored by Ari Hock , research assistant at the University of Washington (UW) Center for Evaluation & Research for STEM Equity (CERSE) and a Ph.D. candidate in the UW College of Education; Erin Carll , Ph.D., associate director of CERSE, where she conducts program evaluation and research into efforts to improve diversity, equity, and inclusion in STEM; and Aryaa Rajouria , research assistant at CERSE and a Ph.D. student in the UW Department of Sociology.

The literature review focuses on eight main areas:

• Gender and intersectionality
• Damage-based vs. desire-based research
• Individual-level and systems-level factors
• International perspectives
• Stereotypes and biases
• Support networks, mentors, and role models
• Recruitment
• Retention and advancement

The authors noted that while the 2022 literature review included significant research on how COVID-19 pandemic affected women in the engineering workforce, the 2023 review featured significantly fewer studies on COVID-19.

“This year’s literature review included over 370 peer-reviewed articles and publications ― the highest we’ve analyzed since SWE started conducting this annual review more than 20 years ago,” said Roberta Rincon , director of research and impact for SWE. “While we have seen many changes over the years in the issues of interest among researchers, gender equity in STEM continues to be a complex field of study. Covering barriers to the recruitment and retention of diverse STEM talent in education and career, from individual struggles to systemic challenges, and considering intersecting identities and international perspectives, our review highlights the multifaceted journey women across the globe.”

Read the 2023 Literature Review

About  SWE Magazine

SWE Magazine , the magazine of the Society of Women Engineers, is published five times per year. Reaching more than 40,000 members, stakeholders, and supporters, the magazine provides authoritative information on women’s status and challenges in engineering.

SWE Magazine celebrates the accomplishments of women engineers past and present; explores career development topics; examines broad, cross-disciplinary technical themes; and discusses public policy issues important to women in engineering and STEM.

SWE Blog provides up-to-date information and news about the Society and how our members are making a difference every day. You’ll find stories about SWE members, engineering, technology, and other STEM-related topics.

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ABOUT ALL TOGETHER

All Together  is the blog of the Society of Women Engineers . Find stories about SWE members, engineering, technology, and other STEM related topics. It’s up-to-date information and news about the Society and how our members are making a difference everyday.

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