Review
Materials Science, Multidisciplinary
U. Aravind, Uday Chakkingal, P. Venugopal
Summary: Fine blanking is a more precise version of the traditional blanking operation, with fewer errors, making it an ideal choice for manufacturing precision machine components. Studies focus on analyzing the effects of fine blanking tooling and process parameters on part characteristics, as well as discussions on equipment design, deformation mechanics, and performance of different materials. Various strain measurement techniques and process modifications for cost reduction or product quality improvement are also discussed.
JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE
(2021)
Article
Engineering, Industrial
G. N. Nikolov, A. N. Thomsen, A. F. Mikkelstrup, Morten Kristiansen
Summary: Laser forming is a flexible and contactless thermomechanical process that uses defocused laser beam to bend and shorten materials. Automation is necessary for the potential use of laser forming in rapid prototyping and small batch production. This study proposes an end-to-end sheet-metal manufacturing system utilizing laser forming and cutting, with the framework experimentally validated for consistent behavior.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Review
Engineering, Chemical
Yingyong He, Honghu Xie, Yongjun Ge, Yishan Lin, Zhitong Yao, Binhui Wang, Meiqing Jin, Jie Liu, Xinyang Chen, Yuhang Sun
Summary: This article investigates the use of laser cutting technology in material cutting and proposes corresponding pollution control methods and equipment. Laser cutting offers advantages of high precision and customization, but it can generate environmental pollutants during the cutting process. Therefore, appropriate dedusting methods and equipment need to be employed to control pollution.
Article
Engineering, Manufacturing
Ken-ichiro Mori, Naotaka Nakamura, Yohei Abe, Yuta Uehara
Summary: The study examined the generation mechanism of residual stress at press-blanked and laser-blanked edges of a 1.5 GPa ultra-high strength martensite steel sheet. The press-blanked edges exhibited high tensile residual stress, leading to hydrogen-induced delayed cracking and reduced fatigue strength, while the laser-blanked edges showed compressive residual stress due to martensite volume increase at lower temperatures. The release of high compressive stress during press blanking induced high tensile residual stress on the fracture surface, influenced by the high strength and low ductility of the material.
JOURNAL OF MANUFACTURING PROCESSES
(2021)
Article
Computer Science, Artificial Intelligence
Philipp Niemietz, Mia J. K. Kornely, Daniel Trauth, Thomas Bergs
Summary: This study examines the relationship between changes in force data and wear in sheet metal forming processes, using sensors to detect auxiliary quantities to understand physical quantities in the forming or stamping process. The research aims to fill current research gaps by quantifying the evolution of wear in industry-like scenarios.
JOURNAL OF INTELLIGENT MANUFACTURING
(2022)
Article
Automation & Control Systems
Tunay Turk, Ming C. Leu
Summary: This study aims to improve the productivity of laser foil printing (LFP), which is a foil-based metal additive manufacturing (AM) process. LFP uses a dual-laser system to fabricate a 3-dimensional part in a layered fashion by performing four steps in each layer: spot welding, pattern welding, contour cutting, and edge polishing, all of which performed by use of lasers. We experimentally examined the welding and polishing steps in this study to enhance LFP productivity.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
Article
Chemistry, Multidisciplinary
Dezhong Qi, Wenguang Yang, Lu Ding, Yunzhi Wu, Chen Tian, Lifeng Yuan, Yuanfang Wang, Zhigao Huang
Summary: With the popularization of small batch production, laser cutting has become the main method for coil material cutting. This paper proposes an intelligent approach for the unit nesting problem of coil material, using an improved marine predator algorithm to continuously update the minimum nesting unit and extract its geometric characteristics. The presented approach has been proven feasible and effective in improving material utilization, reducing production costs, and meeting production site requirements.
APPLIED SCIENCES-BASEL
(2023)
Article
Management
Sahar Chehrazad, Dirk Roose, Tony Wauters
Summary: We propose a fast algorithm based on a semi-discrete representation to solve nesting problems. The algorithm utilizes a sweep-line method and minimal extensions to ensure non-overlapping placement of line segments. Experimental results demonstrate the algorithm's efficiency in handling large-scale datasets.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Computer Science, Artificial Intelligence
Gun-Yeol Na, Jeongsam Yang
Summary: In the shipbuilding industry, nesting is arranging the cutting patterns of ship parts to increase steel sheet utilization and reduce scrap rate. To reduce nesting complexity, this study proposes a pairing method based on deep learning classifiers and pairwise clustering. Experimental results show that the proposed method significantly reduces pairing and arrangement time, as well as the scrap rate, thereby improving nesting efficiency.
JOURNAL OF INTELLIGENT MANUFACTURING
(2023)
Article
Optics
Shaofu Huang, Zhendong Fu, Chao Liu, Jun Li
Summary: Laser cutting was experimentally studied for glass fiber reinforced plastic (GFRP) to optimize processing parameters and improve processing quality. An integrative model using Back-Propagation Neural Network (BPNN) and Non-dominated Sorting Genetic Algorithm (NSGAII) was developed to predict and optimize the quality characteristics of fiber laser cutting. The results showed that the integrative modeling strategy had the ability to accurately predict and optimize the laser cutting of composite materials.
OPTICS AND LASER TECHNOLOGY
(2023)
Article
Materials Science, Multidisciplinary
Hao Pang, Tobias Haist, Tobias Haecker
Summary: Detailed knowledge of laser-material interaction, especially laser power absorption distribution, is crucial for simulating and optimizing laser material processing. This study presents an algorithm based on ray tracing to calculate laser beam propagation and absorption in complex 3D cutting kerfs. By setting up a ray source and reconstructing the cutting kerf geometry, the method allows for direct simulation of laser absorption inside the kerf while considering light propagation properties.
JOURNAL OF LASER APPLICATIONS
(2021)
Article
Computer Science, Artificial Intelligence
Qiang Luo, Yunqing Rao, Xiaoqiang Guo, Bing Du
Summary: This paper addresses a two-dimensional knapsack packing problem and proposes a biased genetic algorithm hybridized with variable neighborhood search (VNS) to solve it effectively. The algorithm uses replacing strategy and an improved placement procedure to increase diversity and improve searching performance. Experimental results validate the effectiveness and competitiveness of the proposed algorithm.
APPLIED SOFT COMPUTING
(2022)
Article
Environmental Sciences
A. H. Elsheikh, T. Muthuramalingam, M. Abd Elaziz, A. M. M. Ibrahim, E. A. Showaib
Summary: This study successfully improved the kerf geometry quality and reduced emitted harmful fumes during CO2 laser cutting of PVC sheets through experimental investigation and optimization. By using Taguchi method for experimental design and genetic algorithm for optimization, a significant decrease in kerf volume was achieved, resulting in a reduction of emitted fumes by 39% to 61%.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY
(2022)
Article
Computer Science, Interdisciplinary Applications
Everton Fernandes Silva, Hatice Calik, Wim Vancroonenburg, Aline Aparecida Souza Leao, Tony Wauters
Summary: The problem of extracting maximal objects from three-dimensional materials is studied using mathematical models and a matheuristic approach for both general and special cases. Computational experiments evaluate the performance and efficiency of the models for small-scale instances, considering objects with varying numbers of vertices. Benchmark instances are publicly available for future research.
COMPUTERS & OPERATIONS RESEARCH
(2021)
Article
Optics
Zhen Yang, Yingjie Song, Xiangyan Yu, Jianlong Zhang, Yong Zhang
Summary: To solve the non-uniformity issue of sheet-beam energy in planar laser combustion diagnostics, a novel beam energy homogenizing method using a total reflection beam-homogenized cavity is proposed. The process of energy homogenizing in the total reflection homogenizing cavity is studied theoretically based on a proposed virtual light source superposition method. The effects of structure and beam coupling parameters on uniformity are investigated. Experimental results demonstrate that the uniformity of the sheet-beam can be maintained at a high level, reaching up to 97.1%, surpassing other known methods.
OPTICS AND LASER TECHNOLOGY
(2023)
Article
Computer Science, Interdisciplinary Applications
Xiaolin Wang, Liyi Zhan, Yong Zhang, Teng Fei, Ming-Lang Tseng
Summary: This study proposes an environmental cold chain logistics distribution center location model to reduce transportation costs and carbon emissions. It also introduces a hybrid arithmetic whale optimization algorithm to overcome the limitations of the conventional algorithm.
COMPUTERS & INDUSTRIAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
Hong-yu Liu, Shou-feng Ji, Yuan-yuan Ji
Summary: This study proposes an architecture that utilizes Ethereum to investigate the production-inventory-delivery problem in Physical Internet (PI), and develops an iterative heuristic algorithm that outperforms other algorithms. However, due to gas prices and consumption, blockchain technology may not always be the optimal solution.
COMPUTERS & INDUSTRIAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
Paraskevi Th. Zacharia, Elias K. Xidias, Andreas C. Nearchou
Summary: This article discusses the assembly line balancing problem in production lines with collaborative robots. Collaborative robots have the potential to improve automation, productivity, accuracy, and flexibility in manufacturing. The article explores the use of a problem-specific metaheuristic to solve this complex problem under uncertainty.
COMPUTERS & INDUSTRIAL ENGINEERING
(2024)