Manufacturing Letters最新文献_第2页

Functionally graded materials fabricated through fused deposition modelling technique-mechanical property evaluation and failure mechanism 熔融沉积建模技术制备功能梯度材料——力学性能评价及失效机理

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Manufacturing Letters Pub Date : 2026-03-01 Epub Date: 2025-12-04 DOI: 10.1016/j.mfglet.2025.11.008

Vikash Kumar, Atosh Kumar Sinha, Susanta Pramanik, Krishna P. Yagati

引用次数: 0

Reconfigurable poly-robots for warehouse transport operations 用于仓库运输操作的可重构多机器人

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Manufacturing Letters Pub Date : 2026-03-01 Epub Date: 2025-12-01 DOI: 10.1016/j.mfglet.2025.11.009

Mari Chaikovskaia , Jean-Philippe Gayon , Zine Elabidine Chebab , Jean-Christophe Fauroux

引用次数: 0

Key insights from US Department of Energy Better Plants workforce development bootcamps (2022–2025) 来自美国能源部“更好的工厂”劳动力发展训练营的关键见解（2022-2025）

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Manufacturing Letters Pub Date : 2026-03-01 Epub Date: 2025-12-06 DOI: 10.1016/j.mfglet.2025.12.001

Wei Guo, Kalie Miera, James Nguyen, Alexandra Botts, Paulomi Nandy, Thomas Wenning, Jennifer Travis

{"title":"Key insights from US Department of Energy Better Plants workforce development bootcamps (2022–2025)","authors":"Wei Guo, Kalie Miera, James Nguyen, Alexandra Botts, Paulomi Nandy, Thomas Wenning, Jennifer Travis","doi":"10.1016/j.mfglet.2025.12.001","DOIUrl":"10.1016/j.mfglet.2025.12.001","url":null,"abstract":"<div><div>This study examines the effectiveness of the US Department of Energy’s Better Plants Program Bootcamps, which are designed to enhance participants’ technical skills in improving energy efficiency and optimizing operations in manufacturing facilities. Through the analysis of survey data collected from 529 participants across 9 bootcamps, the research investigates the motivations, benefits, and demographic trends of attendees. The findings reveal that skill acquisition and improvement are primary drivers for participation, with key benefits including hands-on training on diagnostic equipment and software tools, networking opportunities, and access to technical resources. The analysis shows strong participation from sectors characterized by high energy consumption and employment, such as chemical and transportation equipment manufacturing. Over 50% of participants have job titles that include “EHS” or “Energy” showing their key roles in leading energy efficiency and energy management efforts in manufacturing. Furthermore, the analysis highlights the distribution of participants across managerial, engineering, and technical roles, revealing a higher representation of managers and engineers. This observation suggests a need for targeted outreach to engage technicians, equipment operators, maintenance staff, and floor workers to ensure comprehensive workforce development. The post-bootcamp survey showed that the participants highly valued the opportunities for peer learning and idea exchange, and the benefits they gained from them. This research contributes to the advancement of manufacturing education by demonstrating the efficacy of specialized training in addressing critical industry challenges and fostering a more competent and empowered workforce.</div></div>","PeriodicalId":38186,"journal":{"name":"Manufacturing Letters","volume":"47 ","pages":"Pages 20-24"},"PeriodicalIF":2.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145798342","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

Microwave-Assisted compression moulding of Flax/Bio-PBS composites using an Innovative Spring-Loaded fixture for sustainable manufacturing 微波辅助压缩成型亚麻/生物pbs复合材料使用创新的弹簧加载夹具可持续制造

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Manufacturing Letters Pub Date : 2026-03-01 Epub Date: 2025-11-22 DOI: 10.1016/j.mfglet.2025.11.006

Adil Irshad , Sunny Zafar , Himanshu Pathak , Rajneesh Sharma

引用次数: 0

SEM images data set development of ML models to predict hydrogen embrittlement in welded 316 L/304 L stainless steels 建立了预测焊接316l / 304l不锈钢氢脆的ML模型

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Manufacturing Letters Pub Date : 2026-03-01 Epub Date: 2026-01-10 DOI: 10.1016/j.mfglet.2026.01.001

Arivazhagan Anbalagan , John E Graves , Oliver James Curnick , Danijela Rostohar , Margret Anouncia Savarimuthu , Anthony Xavior Michael , Rajkumar Soundarapandiyan , Jeyapandiarajan Paulchamy , Mythili Thirugnanam

{"title":"SEM images data set development of ML models to predict hydrogen embrittlement in welded 316 L/304 L stainless steels","authors":"Arivazhagan Anbalagan , John E Graves , Oliver James Curnick , Danijela Rostohar , Margret Anouncia Savarimuthu , Anthony Xavior Michael , Rajkumar Soundarapandiyan , Jeyapandiarajan Paulchamy , Mythili Thirugnanam","doi":"10.1016/j.mfglet.2026.01.001","DOIUrl":"10.1016/j.mfglet.2026.01.001","url":null,"abstract":"<div><div>This study focuses on the machine learning (ML)-based identification of defects caused by hydrogen embrittlement (H2E) in the welded zones of 316 L/304 L stainless steels. It involves developing a robust SEM image dataset to train ML models for accurate defect identification. Initially, Gas Metal Arc Welding (GMAW) samples were manufactured with weld gap variations of 0.8 mm, 1.2 mm, and 1.5 mm. The welding parameters used were: (i) welding speeds of 15 mm/sec and 10 mm/sec, (ii) wire feed rate of 5.5 m/min, and (iii) voltage of 15.5 V. The samples were then exposed to a hydrogen gas environment at a pressure of 80 bar for 150 h. When analyzed using scanning electron microscopy (SEM) & electron backscatter diffraction (EBSD), H2E was observed on the surfaces of the welded zones (WZ) and heat-affected zones (HAZ). These defects, validated through literature, were segregated / sectioned as defect-based feature images and stored as a dataset. A preliminary analysis of the images validated after with 16 DOE’s using AlexNet, a convolutional neural network (CNN)-based ML model, showed significant identification of these defects with 90 % accuracy. The trained models helped identify areas and understand previously unidentified defects. Through a focused discussion on defect detection, supported by validation using classification (CNN Accuracy, Precision, Recall, and F1-Score) and regression metrics (R2 and Success Rate), the article demonstrates the potential of ML-based approaches in advancing welding diagnostics.</div></div>","PeriodicalId":38186,"journal":{"name":"Manufacturing Letters","volume":"47 ","pages":"Pages 51-57"},"PeriodicalIF":2.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146037911","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

Enhanced wear resistance in Al–Cu–SiC composites through extrusion-assisted powder metallurgy 挤压辅助粉末冶金提高Al-Cu-SiC复合材料的耐磨性

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Manufacturing Letters Pub Date : 2026-03-01 Epub Date: 2026-01-04 DOI: 10.1016/j.mfglet.2025.12.003

Anna Wąsik , Beata Leszczyńska-Madej , Marcin Madej

引用次数: 0

An engineering design process course for high school preservice teachers based on 3D printer component analysis 基于3D打印机部件分析的高中职前教师工程设计过程课程

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Manufacturing Letters Pub Date : 2025-12-01 Epub Date: 2025-10-25 DOI: 10.1016/j.mfglet.2025.10.014

Weihang Zhu , Mariam Manuel , Paige Evans , Peter Weber

{"title":"An engineering design process course for high school preservice teachers based on 3D printer component analysis","authors":"Weihang Zhu , Mariam Manuel , Paige Evans , Peter Weber","doi":"10.1016/j.mfglet.2025.10.014","DOIUrl":"10.1016/j.mfglet.2025.10.014","url":null,"abstract":"<div><div>3D printing (3DP) has been becoming pervasive in the K-16 education system. However, in many schools, new 3D printers arrive, work for a certain period, and before long break down due to lack of maintenance and support. Teachers must develop a deeper understanding of 3D printing to fully realize its potential in engineering design. This course responds to that need by integrating 3D printer dissection with the Engineering Design Process (EDP) and culturally responsive pedagogy (CRP). In this project, the course of engineering design for preservice teachers (PST, current undergraduate students) is developed and implemented with mechanical components from dissected 3D printers. The approach is to dissect a 3D printer’s hardware, explain each component’s function, introduce each component’s manufacturing methods, describe possible defects, and elucidate what works and what does not. This allows the PSTs to develop a better understanding of 3D printing process, have a better idea on how to fix a 3D printer when it breaks down, and design components that are compatible with 3D printing. Findings from pre- and post-course quizzes and course evaluations indicate that preservice teachers not only improved their technical knowledge of 3D printing but also gained confidence in applying EDP and CRP practices, strengthening the sustainability and meaningful use of 3D printing in classrooms.</div></div>","PeriodicalId":38186,"journal":{"name":"Manufacturing Letters","volume":"46 ","pages":"Pages 88-91"},"PeriodicalIF":2.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145416717","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

Design, fabrication, and performance evaluation of low cost, open-source desktop milling machine 低成本、开源桌面铣床的设计、制造和性能评估

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Manufacturing Letters Pub Date : 2025-12-01 Epub Date: 2025-10-22 DOI: 10.1016/j.mfglet.2025.10.016

Tyler Woodard , John Greene , Andrew Honeycutt , Tony Schmitz

引用次数: 0

Improving employer engagement in manufacturing workforce development programs 提高雇主对制造业劳动力发展计划的参与度

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Manufacturing Letters Pub Date : 2025-12-01 Epub Date: 2025-10-13 DOI: 10.1016/j.mfglet.2025.10.004

Zhen Zhao, John Liu

引用次数: 0

Combining case-based reasoning and process mining for root cause analysis in complex manufacturing environments 结合基于案例的推理和过程挖掘，在复杂的制造环境中进行根本原因分析