Procedia manufacturing最新文献_第9页

Design and additive manufacturing of a fatigue-critical aerospace part using topology optimization and L-PBF process 基于拓扑优化和L-PBF工艺的航空航天疲劳临界部件设计与增材制造

Procedia manufacturing Pub Date : 2021-01-01 DOI: 10.1016/j.promfg.2021.07.037

Akin Dagkolu , Istemihan Gokdag , Oguzhan Yilmaz

引用次数: 17

Detection of exact and near duplicates in phased-array ultrasound weld scan 相控阵超声焊缝扫描中精确和近似重复点的检测

Procedia manufacturing Pub Date : 2021-01-01 DOI: 10.1016/j.promfg.2021.07.041

Etienne Provencal , Luc Laperrière

引用次数: 5

QR code-based material flow monitoring in a subcontractor manufacturer network 基于QR码的转包制造网络物料流监控

Procedia manufacturing Pub Date : 2021-01-01 DOI: 10.1016/j.promfg.2021.10.016

Jaakko Peltokorpi, Lauri Isojärvi, Kai Häkkinen, Esko Niemi

{"title":"QR code-based material flow monitoring in a subcontractor manufacturer network","authors":"Jaakko Peltokorpi, Lauri Isojärvi, Kai Häkkinen, Esko Niemi","doi":"10.1016/j.promfg.2021.10.016","DOIUrl":"10.1016/j.promfg.2021.10.016","url":null,"abstract":"<div><p>Principal manufacturers suffer from uncertainty as they lack up-to-date information on their orders in supply chains (SCs). The current era of digitalization offers many solutions to monitor order statuses through integrated information systems. However, the requirements to implement such systems are high for the companies and they still prefer personal interactions with suppliers. This paper proposes a QR code-based order monitoring system in a subcontractor manufacturer network. The objective of the study is to assess the technological and operative maturity of the system in real SCs. A prototype system was built and demonstrated to representatives from Finnish companies in a virtual workshop. The feasibility study showed that the QR code-based monitoring system is practical and promising. The companies, however, recognize that its implementation would be challenging from both the technical integration and subcontractor adaptation points of view. The results obtained give insights into modern information management in SCs and suggest areas of interest for further studies.</p></div>","PeriodicalId":91947,"journal":{"name":"Procedia manufacturing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2351978921002134/pdf?md5=cf1a01701091cd50dcc25009609b7f00&pid=1-s2.0-S2351978921002134-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"54985532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Quality Prediction of Continuous Ultrasonic Welded Seams of High-Performance Thermoplastic Composites by means of Artificial Intelligence 基于人工智能的高性能热塑性复合材料连续超声焊缝质量预测

Procedia manufacturing Pub Date : 2021-01-01 DOI: 10.1016/j.promfg.2021.10.017

D. Görick , L. Larsen , M. Engelschall , A. Schuster

{"title":"Quality Prediction of Continuous Ultrasonic Welded Seams of High-Performance Thermoplastic Composites by means of Artificial Intelligence","authors":"D. Görick , L. Larsen , M. Engelschall , A. Schuster","doi":"10.1016/j.promfg.2021.10.017","DOIUrl":"10.1016/j.promfg.2021.10.017","url":null,"abstract":"<div><p>Thermoplastic composites (TCs) are a famous choice when it comes to high performance designs for industrial applications. Since the growing demand on the use of this material, it is important to be able to evaluate suitable processing technologies. One of those technologies is continuous ultrasonic welding (CUSW) which creates continuous joints, also called seams, between two or more TCs parts. In CUSW mechanical oscillations are applied to the material and result in melting and connecting of the welding parts.</p><p>The approach to predict joint strength (qualities) of continuous ultrasonic welded TCs by training different neural networks is investigated in this study. Quality class prediction around 72 % accuracy is achieved with a fully connected neural network. Concluding, quality prediction of welded TCs with the help of artificial intelligence seems to be a suitable approach for quality observation but more research could lead to more reliable neural networks for industrial applications.</p></div>","PeriodicalId":91947,"journal":{"name":"Procedia manufacturing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2351978921002146/pdf?md5=40cac27e61437d063f733b91d0e4f424&pid=1-s2.0-S2351978921002146-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"54985543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Parametric and reinforcement learning control for degrading multi-stage systems 退化多级系统的参数化和强化学习控制

Procedia manufacturing Pub Date : 2021-01-01 DOI: 10.1016/j.promfg.2021.10.055

Panagiotis D. Paraschos , Georgios K. Koulinas , Dimitrios E. Koulouriotis

{"title":"Parametric and reinforcement learning control for degrading multi-stage systems","authors":"Panagiotis D. Paraschos , Georgios K. Koulinas , Dimitrios E. Koulouriotis","doi":"10.1016/j.promfg.2021.10.055","DOIUrl":"10.1016/j.promfg.2021.10.055","url":null,"abstract":"<div><p>This paper addresses the joint control problem in the context of a two-stage stochastic manufacturing/remanufacturing system, which involve both manufacturing and remanufacturing processes. Its operability is affected by frequent deterioration failures. Along with the condition of the system, the manufactured items are affected as well. Thus, the system obtains lesser revenues due to the low-quality products and the downtimes of the deteriorated system. For this purpose, the state and the condition of the systems and the manufactured products must be monitored dynamically so as to devise an optimal strategy for manufacturing, maintenance, and quality control. The present paper proposes a novel two-agent reinforcement learning framework that incorporates parametric production and maintenance activities. The aim is to improve the productivity of the system and keep the system operational with minimal maintenance activities so as to maximize the overall profitability. The performance of the presented approach is evaluated through experimental scenarios.</p></div>","PeriodicalId":91947,"journal":{"name":"Procedia manufacturing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2351978921002523/pdf?md5=972ef873dd66b3e1057b0153fcb026be&pid=1-s2.0-S2351978921002523-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"54985820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Trends for Low-Cost and Open-Source IoT Solutions Development for Industry 4.0 面向工业4.0的低成本和开源物联网解决方案发展趋势

Procedia manufacturing Pub Date : 2021-01-01 DOI: 10.1016/j.promfg.2021.10.042

Antti Martikkala , Joe David , Andrei Lobov , Minna Lanz , Iñigo Flores Ituarte

{"title":"Trends for Low-Cost and Open-Source IoT Solutions Development for Industry 4.0","authors":"Antti Martikkala , Joe David , Andrei Lobov , Minna Lanz , Iñigo Flores Ituarte","doi":"10.1016/j.promfg.2021.10.042","DOIUrl":"10.1016/j.promfg.2021.10.042","url":null,"abstract":"<div><p>The aim of the paper is to review the trends on low-cost open-source Internet of Thing (IoT) in the Framework of Industry 4.0. We hypothesize that open source IoTs benefits small and medium sized (SME) manufacturing companies to help them tackle economical and technical barriers for technology adoption at factory floors. This research reviews the state of the art of open-source hardware and software and identifies the challenges of open-source IoT by compiling scientific literature and relevant online resources. The methodology is twofold: (i) we use a grey literature review including online information, and (ii) we complement the analysis by a structured keyword search using IEEE scientific repository. The study finds that open source is and will be an essential part of developing Industry 4.0 solutions and its integral constituent, Industrial Internet of Things systems (IIoT). However, there are challenges to overcome, such as interoperability and reliability.</p></div>","PeriodicalId":91947,"journal":{"name":"Procedia manufacturing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2351978921002390/pdf?md5=a17f7c9f150a9881a94648fa168a33d2&pid=1-s2.0-S2351978921002390-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"54986161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

Stable Allocation of Services in Public Cloud Manufacturing Platforms: A Game Theory View 公共云制造平台服务的稳定配置:博弈论视角

Procedia manufacturing Pub Date : 2021-01-01 DOI: 10.1016/j.promfg.2021.10.043

Jalal Delaram , Mahmoud Houshamnd , Farid Ashtiani , Omid Fatahi Valilai

{"title":"Stable Allocation of Services in Public Cloud Manufacturing Platforms: A Game Theory View","authors":"Jalal Delaram , Mahmoud Houshamnd , Farid Ashtiani , Omid Fatahi Valilai","doi":"10.1016/j.promfg.2021.10.043","DOIUrl":"10.1016/j.promfg.2021.10.043","url":null,"abstract":"<div><p>With unbounding the manufacturing resources and capabilities from shopfloors and being available as on-demand services for everyone who needs, the service allocation problem becomes critical. Despite of private Cloud Manufacturing platforms in which the service allocation problem is an optimization matching problem, in public Cloud Manufacturing platforms the service allocation problem is a matching game between manufacturing providers and consumers. This is a complex form of games that has two sides, one side is the players that has manufacturing resources and capabilities and the other side is the players who want to receives such services. In this paper, we present a matching game model for public Cloud Manufacturing platforms, and discusses the stable solution of the game using Deferred Acceptance algorithm. Then, we examine the model using a case study from automotive spare parts manufacturing in Iran which was the main motivation of this study. The novelty of the contribution of this paper is in development of a stable and optimal matching mechanism for public platforms.</p></div>","PeriodicalId":91947,"journal":{"name":"Procedia manufacturing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2351978921002407/pdf?md5=efc8d8f25819e75b46b5d54dd8c66f7e&pid=1-s2.0-S2351978921002407-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"54986177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

After sales service: key settings for improving profitability and customer satisfaction 售后服务:提高盈利能力和客户满意度的关键设置

Procedia manufacturing Pub Date : 2021-01-01 DOI: 10.1016/j.promfg.2021.10.063

C.G.S. Rebelo , M.T. Pereira , J.F.G. Silva , L.P. Ferreira , J.C. Sá , A.M. Mota

引用次数: 5

Building Blocks for Blockchain Adoption in Digital Transformation of Sustainable Supply Chains 可持续供应链数字化转型中采用区块链的构建模块

Procedia manufacturing Pub Date : 2021-01-01 DOI: 10.1016/j.promfg.2021.10.070

Funlade T Sunmola , Patrick Burgess , Albert Tan

{"title":"Building Blocks for Blockchain Adoption in Digital Transformation of Sustainable Supply Chains","authors":"Funlade T Sunmola , Patrick Burgess , Albert Tan","doi":"10.1016/j.promfg.2021.10.070","DOIUrl":"10.1016/j.promfg.2021.10.070","url":null,"abstract":"<div><p>Global supply chains shift to meet exceeding expectations in supply chains lead to the need for digital technologies in supply chain management. Industry 4.0 has emerged in sustainable supply chain systems, blockchain is prominent, with the potential of immutable transparent data. Blockchains present potential to disrupt supply chains through digital transformation by enabling provenance, visibility, relationships, collaboration, lower costs, and enabling real-time trusted data. Scholars are increasingly investigating blockchain adoption, with an emphasis on technology acceptance modelling. Current research is valuable to understand potentials of blockchain technology in supply chains however, there is limited work on the building blocks for blockchain adoption in digital transformation of supply chains. This study aims to investigate through a systematic literature review and case studies, the building blocks for blockchain adoption in digital transformation of sustainable supply chains. Blockchain adoption in supply chain management is receiving increasing attention, along with highlights of critical factors. This paper offers a building block model that is in three main phases; pre-adoption, adoption, and the post adoption. The model indicates that adoption context, blockchain technology platform offerings, strategic responses, and adoption readiness are some key building blocks, particularly at the pre-adoption phase. Trust and supply chain network, firm resources, and blockchain costs are all considered critical in the considerations of the building blocks. In addition, aligning supply chain objectives with blockchain systems is critical and so is blockchain compatibility. Law and governance are amongst the two prominent challenges in blockchain adoption and should be considered as part of the building blocks for blockchain adoption.</p></div>","PeriodicalId":91947,"journal":{"name":"Procedia manufacturing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2351978921002675/pdf?md5=98418b2720bb01a90dbca9a8bf2047ff&pid=1-s2.0-S2351978921002675-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"54986420","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 18

Electrical Energy Consumption Interface in Modular Skill-Based Production Systems with the Asset Administration Shell 基于技能的模块化生产系统中的电能消耗接口与资产管理外壳

Procedia manufacturing Pub Date : 2021-01-01 DOI: 10.1016/j.promfg.2021.10.073

William Motsch , Aleksandr Sidorenko , Alexander David , Pascal Rübel , Achim Wagner , Martin Ruskowski

{"title":"Electrical Energy Consumption Interface in Modular Skill-Based Production Systems with the Asset Administration Shell","authors":"William Motsch , Aleksandr Sidorenko , Alexander David , Pascal Rübel , Achim Wagner , Martin Ruskowski","doi":"10.1016/j.promfg.2021.10.073","DOIUrl":"10.1016/j.promfg.2021.10.073","url":null,"abstract":"<div><p>Modular production systems provide the opportunity to react more flexibly to customer-individual requirements resulting in smaller batch sizes. The implementation of capabilities in production systems leads to a skill-based production which manifests on the modular level. Electrical energy consumption can be analyzed more in detail if the consumption can be linked to the respective skill. The aim of this paper is to show the conception of an energy consumption interface in a modular skill-based production environment with the Asset Administration Shell. The current state of the art of modular skill-based production and modular energy consumption measurement with Infrastructure Nodes and Asset Administration Shell is introduced. The role of the modular level for an energy consumption interface and conceptional approaches of this interface to access and collect consumption data is presented on this basis. Furthermore, the prototypical implementation of the energy related Asset Administration Shell submodel with the BaSyx-Middleware is presented.</p></div>","PeriodicalId":91947,"journal":{"name":"Procedia manufacturing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2351978921002705/pdf?md5=462cc5139840e515692a7cb965451ae3&pid=1-s2.0-S2351978921002705-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"54986457","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8