Towards collaborative robotic polishing of mould and die sets

Wang, Ke; Dailami, Farid; Matthews, Jason

doi:10.1016/j.promfg.2020.01.137

Cited by 15 publications

(5 citation statements)

References 10 publications

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“…Lamon et al (2019) related the increased productivity with minimizing cobots' fatigue. Wang et al (2019) showed the improvement in productivity by using cobots in a real case study. Serebrenny et al, (2019a), Gualtieri et al, (2020b), andGervasi et al (2021) suggested a framework to improve productivity.…”

Section: Productivitymentioning

confidence: 96%

“…After several framework studies, Gil-Vilda et al (2017) evaluated the performance of a real collaborative assembly line in a comparative case study. Other examples include Wang et al (2019), D'Souza et al (2020, Inoue et al (2021), Sordan et al (2021), andNavas-Reascos et al, (2022a) with different performance criteria. Simulation was the next methodology used in this class (Malik et al, 2020Thomas et al, 2018;Zhu et al, 2022).…”

Section: Designing Collaborative Assembly Linementioning

confidence: 99%

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Collaborative robots in manufacturing and assembly systems: literature review and future research agenda

et al. 2023

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Nowadays, considering the constant changes in customers’ demands, manufacturing systems tend to move more and more towards customization while ensuring the expected reactivity. In addition, more attention is given to the human factors to, on the one hand, create opportunities for improving the work conditions such as safety and, on the other hand, reduce the risks brought by new technologies such as job cannibalization. Meanwhile, Industry 4.0 offers new ways to facilitate this change by enhancing human–machine interactions using Collaborative Robots (Cobots). Recent research studies have shown that cobots may bring numerous advantages to manufacturing systems, especially by improving their flexibility. This research investigates the impacts of the integration of cobots in the context of assembly and disassembly lines. For this purpose, a Systematic Literature Review (SLR) is performed. The existing contributions are classified on the basis of the subject of study, methodology, methodology, performance criteria, and type of Human-Cobot collaboration. Managerial insights are provided, and research perspectives are discussed.

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Section: Productivitymentioning

confidence: 96%

Section: Designing Collaborative Assembly Linementioning

confidence: 99%

Collaborative robots in manufacturing and assembly systems: literature review and future research agenda

et al. 2023

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“…Dies and moulds are common components in the fabrication of a broad variety of goods. Due to dies and moulds are required for practically all mass-produced discrete components, this industry always play a significant role in the production process [48].…”

Section: Introductionmentioning

confidence: 99%

Improvement Activities in Stamping Die Manufacturing: A Systematic Literature Review

Rozeman¹,

Adesta²,

Sophian³

et al. 2023

IJEMM

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Die making is regarded as the mother of all industries. In the manufacturing world, this industry is thought to have existed for a long time. There is a need to address the improvement activities in this area in order to assess their relevance, results, and impacts on its latest industrial development. However, there were insufficient studies that systematically reviewed the existing literature related to stamping die manufacturing's latest improvement activities. As a result, the current article conducted a systematic literature review on stamping die manufacturing improvement activities. The present study applies the integrated multiple research design, and the review was based on the publication standard, namely the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). This research is using two leading databases, namely Scopus and Science Direct, and five supporting databases, namely Emerald Insight, IEE Explore, Wiley Online, Taylor & Francis, and Google Scholar. Using thematic analysis, this review has six main themes: design, machining, finishing, trials, and overall improvements. These six major themes were subdivided into 20 sub-themes. The findings show that the researchers are covering most of the improvements in the main elements of die manufacturing processes. Based on this study, the contribution for practical purposes of stamping die manufacturing improvements was identified. The study contributes significant findings, such as detailed improvement activities that are specific to the targeted issues but have the potential to be adapted or imitated by other practitioners and future researchers.

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“…Also, the industry is facing the pressure of skilled workers specializing in finishing operations [3,4]. With these factors in mind, robotics is seen as one potential solution [5,6]. However, to extend its applications in the polishing process so as to finally substitute most of the manual polishing work in the industry, a fast and automatic generation of polishing process plan is necessary.…”

Section: Introductionmentioning

confidence: 99%

GA-AHP Method to Support Robotic Polishing Process Planning

Wang

Ding

Dailami

et al. 2022

Digital Manufacturing Technology

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The finishing stage of mould manufacturing is generally completed via mechanical polishing and manually conducted. Not only is this the most expensive phase of the process but also is currently struggling with a deficit of skilled workers. To address these issues, and support the wider needs of Industry 4.0, the manufacturing community has investigated robotic technologies to support the polishing process. The work reported here, investigating the polishing process planning and optimization for mould manufacture is part of a larger project aiming to automate 80% of the current manual process. Presented in this article is an optimization strategy for robotic polishing process sequencing aiming at satisfying polishing sequence rules and the shortest polishing time simultaneously. A hybrid approach combining both genetic algorithm (GA) and analytical hierarchical process (AHP) is proposed based on the specific characteristics of polishing process sequencing. A multi-objective fitness function is defined using AHP including the calculation of polishing time and evaluation of polishing process rules. The proposed GA-based process sequencing has been successfully demonstrated on test piece examples.

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Towards collaborative robotic polishing of mould and die sets

Cited by 15 publications

References 10 publications

Collaborative robots in manufacturing and assembly systems: literature review and future research agenda

Collaborative robots in manufacturing and assembly systems: literature review and future research agenda

Improvement Activities in Stamping Die Manufacturing: A Systematic Literature Review

GA-AHP Method to Support Robotic Polishing Process Planning

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