Journal Article10.1007/s10845-022-01967-4
A nesting optimization method based on digital contour similarity matching for additive manufacturing
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About: This article is published in Journal of Intelligent Manufacturing. The article was published on 10 Jun 2022. The article focuses on the topics: Computer science & Nesting (process).
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Citations
Nesting and scheduling optimization of additive manufacturing systems: Mapping the territory
Marcelo Pinto,Cristóvão Silva,Matthias Thürer,Samuel Moniz +3 more
- 01 May 2024
TL;DR: This paper maps the territory of additive manufacturing system optimization, analyzing nesting and scheduling problems through bibliometric and systematic review methods, identifying fundamental decisions and relationships between critical studies, and outlining future research avenues.
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A 3D nesting method based on the convex-concave coding similarity of the voxelized model for additive manufacturing
TL;DR: Wang et al. as mentioned in this paper proposed a new 3D layout method based on the Convex-concave Coding Similarity of the Voxelized model (VCCCS) for additive manufacturing.
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High-Performance Defect Detection Methods for Real-Time Monitoring of Ceramic Additive Manufacturing Process Based on Small-Scale Datasets
Shan Li,Tongcai Wang,Bingshan Liu,Congcong Cui,Wei Li,Gong Wang +5 more
TL;DR: High-performance defect detection methods for real-time monitoring of ceramic additive manufacturing process based on small-scale datasets achieve high detection accuracy and frame rate, enabling improved manufacturing fluency and increased yield.
1
Multi-Image Fusion-Based Defect Detection Method for Real-Time Monitoring of Recoating in Ceramic Additive Manufacturing
Xinjian Jia,Tongcai Wang,Yizhe Yang,Xiaodong Liu,Xin Li,Bingshan Liu,Gong Wang +6 more
TL;DR: A multi-image fusion-based defect detection method for real-time monitoring of recoating in ceramic additive manufacturing is proposed, leveraging deep learning and image rectification to achieve high detection accuracy and a detection rate of 103.58fps.
1
Fidelity-adaptive evolutionary optimization algorithm for 2D irregular cutting and packing problem
Yizhe Yang,Bingshan Liu,Xin Li,Qingfeng Jia,Wenyan Duan,Gong Wang +5 more
1
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TL;DR: The authors examines the characteristics and applications of 3D printing and compares it with mass customization and other manufacturing processes, and concludes that 3-D printing enables small quantities of customized goods to be produced at relatively low costs.
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The status, challenges, and future of additive manufacturing in engineering
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TL;DR: Future directions such as the "print-it-all" paradigm, that have the potential to re-imagine current research and spawn completely new avenues for exploration are pointed out.
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Nannan Guo,Ming-Chuan Leu +1 more
TL;DR: Additive manufacturing (AM) technology has been researched and developed for more than 20 years as mentioned in this paper, and significant progress has been made in the development and commercialization of new and innovative AM processes, as well as numerous practical applications in aerospace, automotive, biomedical, energy and other fields.
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A global sustainability perspective on 3D printing technologies
TL;DR: In this paper, the authors presented a comprehensive assessment of 3D printing from a global sustainability perspective and quantified changes in life cycle costs, energy and CO 2 emissions globally by 2025.
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