Manufacturing Letters最新文献_第3页

Learning through development of a digital manufacturing system in a learning factory using low-code/no-code platforms 通过使用低代码/无代码平台在学习型工厂中开发数字制造系统进行学习

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Manufacturing Letters Pub Date : 2025-12-01 Epub Date: 2025-09-12 DOI: 10.1016/j.mfglet.2025.09.001

Russel Bradley, Stanley S. Salim, Brian W. Anthony

{"title":"Learning through development of a digital manufacturing system in a learning factory using low-code/no-code platforms","authors":"Russel Bradley, Stanley S. Salim, Brian W. Anthony","doi":"10.1016/j.mfglet.2025.09.001","DOIUrl":"10.1016/j.mfglet.2025.09.001","url":null,"abstract":"<div><div>This study demonstrates how low-code/no-code (LCNC) platforms can enable undergraduate students without software development backgrounds to design and build digital manufacturing systems. Students developed an IoT-enabled Manufacturing Execution System using Tulip Interfaces—an LCNC platform, focusing on applications like inventory tracking, machine monitoring, and digital work instructions in the FrED Factory—a learning factory at MIT. Evaluation through a pilot study showed students gained a strong understanding of smart manufacturing concepts while spending most of their time on systems design rather than software development. Individual interviews followed by a post-interview survey highlighted that the average percentage of time split between systems design and debugging the LCNC platform was 70–30% respectively. Additionally, all students responded with “strongly agree” to the question of whether the project enhanced their understanding of smart manufacturing concepts. LCNC platforms offer a practical, accessible approach to teaching digital manufacturing and can accelerate skill development in both educational and industrial settings.</div></div>","PeriodicalId":38186,"journal":{"name":"Manufacturing Letters","volume":"46 ","pages":"Pages 10-15"},"PeriodicalIF":2.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145158856","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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Data-driven optimization of temperature control for thick aluminum plate friction stir welding 厚铝板搅拌摩擦焊温度控制的数据驱动优化

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Manufacturing Letters Pub Date : 2025-12-01 Epub Date: 2025-11-19 DOI: 10.1016/j.mfglet.2025.11.004

Zhuo Sun, Xiaohong Lu, Banghua Yang

引用次数: 0

Agentic AI for smart manufacturing 智能制造的人工智能代理

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Manufacturing Letters Pub Date : 2025-12-01 Epub Date: 2025-10-26 DOI: 10.1016/j.mfglet.2025.10.013

Jay Lee, Hanqi Su

{"title":"Agentic AI for smart manufacturing","authors":"Jay Lee, Hanqi Su","doi":"10.1016/j.mfglet.2025.10.013","DOIUrl":"10.1016/j.mfglet.2025.10.013","url":null,"abstract":"<div><div>The rise of data-rich manufacturing environments has created demand for artificial intelligence (AI) systems capable of autonomous, adaptive, and goal-oriented operations. Traditional AI methods, being largely task-specific, often lack the flexibility to perform effectively in dynamic, complex industrial settings. Recent advances in large language models (LLMs) have led to the emergence of <em>Agentic AI</em>, which extends AI capabilities through advanced reasoning, planning, tool integration, and multi-agent collaboration. While Agentic AI has been explored in domains such as computer science, healthcare, education, and finance, its adoption in manufacturing remains limited.</div><div>This paper defines Agentic AI in the manufacturing context, differentiates it from traditional AI agents, and presents a novel framework designed for smart manufacturing. The proposed framework integrates multiple LLM-based agents, a unified Data–Model–Knowledge (DMK) lake, and human expertise to enable advanced perception, reasoning, planning, orchestration, evaluation, optimization, and iterative improvement. A case study of a retrieval-augmented generation (RAG)-based LLM QA system demonstrates the framework’s feasibility. Key technical challenges are also discussed. The work aims to provide strategic guidance for the development and deployment of efficient, trustworthy Agentic AI systems in smart manufacturing.</div></div>","PeriodicalId":38186,"journal":{"name":"Manufacturing Letters","volume":"46 ","pages":"Pages 92-96"},"PeriodicalIF":2.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145416715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Integrating feminist pedagogy into manufacturing education: a digital twin-based teaching module 将女性主义教学法融入制造业教育：基于数字双胞胎的教学模块

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Manufacturing Letters Pub Date : 2025-12-01 Epub Date: 2025-10-11 DOI: 10.1016/j.mfglet.2025.10.002

Anis Fatima, John L. Irwin

{"title":"Integrating feminist pedagogy into manufacturing education: a digital twin-based teaching module","authors":"Anis Fatima, John L. Irwin","doi":"10.1016/j.mfglet.2025.10.002","DOIUrl":"10.1016/j.mfglet.2025.10.002","url":null,"abstract":"<div><div>Integrating feminist pedagogy into engineering education offers a novel pathway to make technical learning more inclusive, participatory, and socially responsive. This paper presents the design and classroom implementation of a digital twin-based teaching module that combines sustainable manufacturing concepts with student-centered learning. A CNC milling machine was retrofitted and linked to its virtual counterpart using CAD/CAM tools, open-source controllers, and a custom-developed graphical user interface (GUI). The system captures real-time data on energy consumption and tool vibration, enabling students to explore how machining parameters impact sustainability factors such as power usage and vibration − induced tool wear. Grounded in feminist pedagogical principles, emphasizing collaboration, reflexivity, and co-creation of knowledge, the module was deployed in Smart Manufacturing and Internet of Things (IoT) courses. The approach fostered a more inclusive learning environment by encouraging active participation, shared authority, and critical thinking around engineering practices. Student surveys and course evaluations indicated improved engagement, deeper conceptual understanding, and greater satisfaction. These results highlight the potential of integrating feminist pedagogy with digital twin technology to enhance manufacturing education and better prepare students for the demands of Industry 4.0 and sustainable engineering.</div></div>","PeriodicalId":38186,"journal":{"name":"Manufacturing Letters","volume":"46 ","pages":"Pages 30-33"},"PeriodicalIF":2.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145325777","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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Manufacturing hybrid carbon fiber laminates with 3D printed interlayers 用3D打印夹层制造混合碳纤维层压板

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Manufacturing Letters Pub Date : 2025-12-01 Epub Date: 2025-10-10 DOI: 10.1016/j.mfglet.2025.09.002

Alice Proietti, Fabrizio Quadrini, Loredana Santo

引用次数: 0

Development of digital laboratory modules using computer simulation for enhanced learning experience in manufacturing education 利用计算机模拟开发数字实验室模块，以增强制造业教育的学习体验

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Manufacturing Letters Pub Date : 2025-12-01 Epub Date: 2025-10-12 DOI: 10.1016/j.mfglet.2025.10.009

S.M. Atikur Rahman , Selim Molla , Jakia Sultana , Richard Y. Chiou , Tzu-Liang (Bill) Tseng , Md. Fashiar Rahman

{"title":"Development of digital laboratory modules using computer simulation for enhanced learning experience in manufacturing education","authors":"S.M. Atikur Rahman , Selim Molla , Jakia Sultana , Richard Y. Chiou , Tzu-Liang (Bill) Tseng , Md. Fashiar Rahman","doi":"10.1016/j.mfglet.2025.10.009","DOIUrl":"10.1016/j.mfglet.2025.10.009","url":null,"abstract":"<div><div>The complexity of modern manufacturing environments, characterized by interactions among various entities, variability, and randomness, presents significant challenges for learners. Understanding these dynamics is essential, but traditional classroom-only focused education often falls short in providing students with practical insights. Hands-on experimentation is vital for students to observe interactions and experience process manipulations, yet such experimental setups can be costly and impractical for many institutions. This paper presents the development of digital laboratory modules to enhance students’ learning experience in manufacturing education through computer simulation techniques. Two modules were created to address complex manufacturing issues: production design under demand uncertainty, manufacturing layout design, and different maintenance schedules. These modules allow users to control process parameters, design experiments, run simulations, and observe outcomes, promoting informed decision-making without wasting resources. This approach is particularly valuable for resource-constrained industries, facilitating rapid decision-making and process efficiency. Each module uses case studies with background information, problem statements, datasets, and expected results. The paper details the development process and case studies and includes experimentation guidelines for using the modules effectively in educational settings.</div></div>","PeriodicalId":38186,"journal":{"name":"Manufacturing Letters","volume":"46 ","pages":"Pages 107-110"},"PeriodicalIF":2.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145465832","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Utilizing Taguchi and ANOVA methods to investigate standard deviation of programmed torque for aluminum 6061-T6 friction stir welding with adaptive torque monitoring and control 采用田口法和方差分析方法研究6061-T6铝搅拌摩擦焊接程序转矩的标准差，并进行自适应转矩监测与控制

IF 2

Manufacturing Letters Pub Date : 2025-12-01 Epub Date: 2025-09-01 DOI: 10.1016/j.mfglet.2025.08.004

Austin Clark , Ihab Ragai

{"title":"Utilizing Taguchi and ANOVA methods to investigate standard deviation of programmed torque for aluminum 6061-T6 friction stir welding with adaptive torque monitoring and control","authors":"Austin Clark , Ihab Ragai","doi":"10.1016/j.mfglet.2025.08.004","DOIUrl":"10.1016/j.mfglet.2025.08.004","url":null,"abstract":"<div><div>A Taguchi L<sub>9</sub> orthogonal array and Analysis of Variance (ANOVA) test for equal variance were used to determine variation in torque when adaptive torque monitoring and control is used in a Friction Stir Welding (FSW) application on AA6061-T6. Standard deviation was analyzed against the parameters of Programmed Torque (PT) and Feed Rate (FR). PT for the Z-axis motor determined the axial force at the tool during welding. PT values of 35, 40 and 45 Nm and FR of 100, 200 and 300 mm/min were studied in this paper. PT values of 35, 40 and 45 Nm correlated to 7.33, 8.38 and 9.43 kN axial force, respectively. It was found that the optimal parameter set with the lowest variation in torque through the entirety of the weld was conducted with a PT (45 Nm/9.43 kN) and an FR of 100 mm/min. These were the maximum and minimum values for PT and FR, respectively. Higher levels of torque variation occurred with higher FR and lower PT. This study offers insight into the effects process parameters have on torque variation when adaptive torque monitoring and control is used.</div></div>","PeriodicalId":38186,"journal":{"name":"Manufacturing Letters","volume":"46 ","pages":"Pages 1-4"},"PeriodicalIF":2.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145019285","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Contribution of deep reinforcement learning to solve reconfigurable facilities layout problems 深度强化学习在解决可重构设施布局问题中的贡献

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Manufacturing Letters Pub Date : 2025-12-01 Epub Date: 2025-10-10 DOI: 10.1016/j.mfglet.2025.09.003

Amine Chiboub , Julien Francois , Thècle Alix , Rémy Dupas

引用次数: 0

Surface topographical and morphological features of submerged waterjet peened AZ91D Mg alloy surfaces – A preliminary study 浸没水射流喷丸AZ91D镁合金表面形貌及形态特征的初步研究

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Manufacturing Letters Pub Date : 2025-12-01 Epub Date: 2025-10-13 DOI: 10.1016/j.mfglet.2025.09.004

Mugilvalavan Mohan , Thirumavalavan Krishnamurthy , Muruganandhan Radhakrishnan , Arunkumar Thirugnanasambandam

{"title":"Surface topographical and morphological features of submerged waterjet peened AZ91D Mg alloy surfaces – A preliminary study","authors":"Mugilvalavan Mohan , Thirumavalavan Krishnamurthy , Muruganandhan Radhakrishnan , Arunkumar Thirugnanasambandam","doi":"10.1016/j.mfglet.2025.09.004","DOIUrl":"10.1016/j.mfglet.2025.09.004","url":null,"abstract":"<div><div>This research examines surface modifications in AZ91D magnesium alloy through submerged waterjet peening with varying parameters. A significant outcome is the achievement of a S<sub>ku</sub> > 3, indicating a valley-dominated surface profile highly favourable for micro-lubricant retention and improved corrosion and tribological performance. Maximum surface variations wereobservedat D<sub>c</sub> = 0.75 mm, v = 90 mm/min, and NOP = 5, resulting in a S<sub>ku</sub>     <!-->a valley-dominated profile. The enhanced S<sub>ku</sub> value is attributed to intensified cavitation effects from the cumulative bubble collapse under high-pressure waterjet. Moreover, a maximum microhardness of 155 ± 13.9HV<sub>0.1</sub> was obtained at D<sub>c</sub> = 1 mm, v = 90 mm/min, and NOP = 1, highlighting an optimal balance between plastic deformation and surface integrity. Surface morphology of selected peened samples indicates that prolonged exposure to high-pressure waterjet under submerged conditions led to intensified erosion, characterised by deeper valleys, micro-depressions, and craters, correlating with energy dispersion and material erosion, which indicates that SWP effectively modifies surfaces using only water and mechanical energy, avoiding chemical treatments and hazardous by-products. This makes SWP a sustainable surface modification technique and a promising green alternative for improving material performance across various industrial applications. However, further investigations are needed to optimise parameters and fully understand surface characteristics.</div></div>","PeriodicalId":38186,"journal":{"name":"Manufacturing Letters","volume":"46 ","pages":"Pages 42-49"},"PeriodicalIF":2.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145325781","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Designing an LLM-based copilot for manufacturing equipment selection 基于llm的副驾驶机制造设备选型设计

IF 2

Manufacturing Letters Pub Date : 2025-12-01 Epub Date: 2025-10-29 DOI: 10.1016/j.mfglet.2025.10.017

Jonas Werheid , Oleksandr Melnychuk , Hans Zhou , Meike Huber , Christoph Rippe , Dominik Joosten , Zozan Keskin , Max Wittstamm , Sathya Subramani , Benny Drescher , Amon Göppert , Anas Abdelrazeq , Robert H. Schmitt

{"title":"Designing an LLM-based copilot for manufacturing equipment selection","authors":"Jonas Werheid , Oleksandr Melnychuk , Hans Zhou , Meike Huber , Christoph Rippe , Dominik Joosten , Zozan Keskin , Max Wittstamm , Sathya Subramani , Benny Drescher , Amon Göppert , Anas Abdelrazeq , Robert H. Schmitt","doi":"10.1016/j.mfglet.2025.10.017","DOIUrl":"10.1016/j.mfglet.2025.10.017","url":null,"abstract":"<div><div>Effective decision-making in automation equipment selection is critical for reducing ramp-up time and maintaining production quality, especially in the face of increasing product variation and market demands. However, limited expertise and resource constraints often result in inefficiencies during the ramp-up phase when new products are integrated into production lines. Existing methods often lack structured and tailored solutions to support automation engineers in reducing ramp-up time, leading to compromises in quality. This research investigates whether large-language models (LLMs), combined with Retrieval-Augmented Generation (RAG), can assist in streamlining equipment selection in ramp-up planning. We propose a factual-driven copilot integrating LLMs with structured and semi-structured knowledge retrieval for three component types (robots, feeders and vision systems), providing a guided and traceable state-machine process for decision-making in automation equipment selection. The system was demonstrated to an industrial partner, who tested it on three internal use-cases. Their feedback affirmed its capability to provide logical and actionable recommendations for automation equipment. More specifically, among 47 equipment prompts analyzed, 24 involved selecting the correct equipment while considering most requirements, and in 20 cases, all requirements were fully met.</div></div>","PeriodicalId":38186,"journal":{"name":"Manufacturing Letters","volume":"46 ","pages":"Pages 123-127"},"PeriodicalIF":2.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145519784","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0