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Journal of Advanced Manufacturing Systems最新文献

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Multi-objective optimization of machining parameters of 13-8 ph steel for die sinking edm using rsm and hybrid human eye vision algorithm 使用 RSM 和混合人眼视觉算法对 13-8 ph 钢沉模电火花加工参数进行多目标优化
IF 1.4 Q4 ENGINEERING, MANUFACTURING Pub Date : 2023-12-15 DOI: 10.1142/s0219686723500403
Sampath Velpula, K. Eswaraiah
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引用次数: 0
Integrating production scheduling and vehicle routing decisions at the operational decision level: a review and discussion extension 在运营决策层面整合生产调度和车辆路线决策:回顾与讨论扩展
IF 1.4 Q4 ENGINEERING, MANUFACTURING Pub Date : 2023-11-16 DOI: 10.1142/s0219686724500173
Ashraf Elsaeed, Mostafa Ashour, Raafat Elshaer
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引用次数: 0
Micro-ECDM Performances Analysis Using Fuzzy Logic and ANFIS during Micro-channel Fabrication on Silica Glass 在硅玻璃微通道制造过程中使用模糊逻辑和 ANFIS 分析微 ECDM 性能
IF 1.4 Q4 ENGINEERING, MANUFACTURING Pub Date : 2023-11-16 DOI: 10.1142/s0219686724500161
Krishnendu Mondal, Bijan Mallick, A. S. Hameed, Jayanta Mahato, Pijush Dutta
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引用次数: 0
Multi-objective Optimization of Welding Processes Using Modified Rao Algorithms 使用修正 Rao 算法对焊接工艺进行多目标优化
IF 1.4 Q4 ENGINEERING, MANUFACTURING Pub Date : 2023-11-16 DOI: 10.1142/s0219686724500203
Ravipudi Venkata Rao, Alok Araya
{"title":"Multi-objective Optimization of Welding Processes Using Modified Rao Algorithms","authors":"Ravipudi Venkata Rao, Alok Araya","doi":"10.1142/s0219686724500203","DOIUrl":"https://doi.org/10.1142/s0219686724500203","url":null,"abstract":"","PeriodicalId":44935,"journal":{"name":"Journal of Advanced Manufacturing Systems","volume":"484 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139269326","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
Missing data Imputation using Socio-hawk optimization-based Deep Neural Network 使用基于社会鹰优化的深度神经网络进行缺失数据推算
IF 1.4 Q4 ENGINEERING, MANUFACTURING Pub Date : 2023-11-16 DOI: 10.1142/s0219686724500185
Trupti G. Ghongade, R. Khobragade
{"title":"Missing data Imputation using Socio-hawk optimization-based Deep Neural Network","authors":"Trupti G. Ghongade, R. Khobragade","doi":"10.1142/s0219686724500185","DOIUrl":"https://doi.org/10.1142/s0219686724500185","url":null,"abstract":"","PeriodicalId":44935,"journal":{"name":"Journal of Advanced Manufacturing Systems","volume":"5 4","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139270548","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
Experimental Investigation and Soft Computing based Assessment using ANN-MOGWO- A Hybrid approach for Inconel(825) 使用 ANN-MOGWO 进行实验研究和基于软计算的评估--针对铬镍铁合金(825)的混合方法
IF 1.4 Q4 ENGINEERING, MANUFACTURING Pub Date : 2023-11-16 DOI: 10.1142/s0219686724500136
Anshuman Kumar, Ram Subbiah, Vivekananda Kukkala, D. S. Nagaraju, Chandramani Upadhyay, R. Karthikeyan
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引用次数: 0
Phase, Microstructure and Tensile Strength of Ultrasonically Stir Casted Al6061-TiC-Graphite Hybrid Metal Matrix Composites 超声搅拌铸造 Al6061-TiC 石墨混合金属基复合材料的相位、显微结构和拉伸强度
IF 1.4 Q4 ENGINEERING, MANUFACTURING Pub Date : 2023-11-16 DOI: 10.1142/s0219686724500148
Anil Kumar Singh, Gaurav Yadav, Pallav Gupta
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引用次数: 0
Maximum thinning rate prediction of friction heat single point incremental forming for AZ31B magnesium alloy based on BP neural network 基于 BP 神经网络的 AZ31B 镁合金摩擦热单点增量成形最大减薄率预测
IF 1.4 Q4 ENGINEERING, MANUFACTURING Pub Date : 2023-11-16 DOI: 10.1142/s0219686724500197
Xu Jiang, Liuru Zhou, Panpan Li
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引用次数: 0
Microstructural Characterization and Wear Studies of T6 Heat Treated A6082 Composite Reinforced with Yttria Stabilized Zirconia 氧化钇稳定氧化锆增强T6热处理A6082复合材料的显微组织表征及磨损研究
Q4 ENGINEERING, MANUFACTURING Pub Date : 2023-11-04 DOI: 10.1142/s0219686724500124
K Madhukumar, G Balakumar, N Chikkanna, N R Thyagaraj
This study focused on investigating the wear properties of a T6 heat-treated A6082 composite reinforced with Yttria-stabilized zirconia (YSZ). The primary objective was to assess how the reinforcement and heat treatment affected the wear parameters of the composite material. The base material chosen for the composite was A6082 alloy, which possesses excellent mechanical and tribological qualities. YSZ, known for its high hardness and wear resistance, was selected as the reinforcing phase. The T6 thermal treatment was applied to the A6082 composite to enhance its mechanical properties and induce precipitation hardening. To evaluate the wear characteristics of the composite, a pin-on-disc tribometer was utilized. This test setup represents real-world sliding contact conditions that the composite material might encounter. Several parameters were measured during the wear testing, including wear loss, friction coefficient, and wear mechanism, to assess the composite’s durability under abrasion. The results of the study demonstrated that increasing the YSZ concentration in the base alloy led to a reduction in material loss and friction coefficient. This improvement can be attributed to the hardness and wear-resistant properties of YSZ. The addition of YSZ reinforcement significantly enhanced the wear resistance of the T6 heat-treated A6082 composite. Furthermore, the T6 heat treatment process also improved the wear properties of the composite. Precipitation hardening occurred, resulting in improved mechanical qualities such as strength and hardness, ultimately leading to increased wear resistance. Microscopic analysis of the worn surfaces revealed that the wear mechanism of the composite shifted from severe abrasive wear to moderate adhesive wear after undergoing the T6 heat treatment. The transformation in wear mechanism is believed to be facilitated by the formation of strengthening precipitates during the heat treatment. These precipitates limited the amount of material lost during the wear test, thereby decreasing both material loss and friction coefficient. In summary, this study demonstrates that the addition of YSZ reinforcement and the T6 heat treatment process effectively enhance the wear properties of the A6082 composite. The presence of YSZ reduces material loss and friction coefficient, while the T6 heat treatment produces precipitation hardening, leading to improved wear resistance.
研究了钇稳定氧化锆(YSZ)增强T6热处理A6082复合材料的磨损性能。主要目的是评估强化和热处理如何影响复合材料的磨损参数。该复合材料的基材为A6082合金,具有优良的机械性能和摩擦学性能。选择硬度高、耐磨性好的YSZ作为增强相。对A6082复合材料进行T6热处理,提高其力学性能,诱导析出硬化。为了评估复合材料的磨损特性,使用了针盘式摩擦计。这个测试装置代表了复合材料可能遇到的真实滑动接触条件。在磨损测试中测量了几个参数,包括磨损损失、摩擦系数和磨损机理,以评估复合材料在磨损下的耐久性。研究结果表明,增加基体中YSZ的浓度可以降低材料损耗和摩擦系数。这种改善可归因于YSZ的硬度和耐磨性。YSZ增强剂的加入显著提高了T6热处理A6082复合材料的耐磨性。此外,T6热处理工艺也提高了复合材料的耐磨性能。析出硬化发生,导致机械质量如强度和硬度的提高,最终导致耐磨性的提高。磨损表面的微观分析表明,经过T6热处理后,复合材料的磨损机制由严重的磨粒磨损转变为中度的粘着磨损。热处理过程中强化相的形成促进了磨损机理的转变。这些析出物限制了磨损试验中材料的损失量,从而降低了材料损失量和摩擦系数。综上所述,本研究表明,添加YSZ增强剂和T6热处理工艺有效地提高了A6082复合材料的磨损性能。YSZ的存在降低了材料损耗和摩擦系数,而T6热处理产生沉淀硬化,从而提高了耐磨性。
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引用次数: 0
A methodology to support robotic polishing of moulds integrated with CAD/CAM 一种集成CAD/CAM支持机器人抛光模具的方法
Q4 ENGINEERING, MANUFACTURING Pub Date : 2023-10-13 DOI: 10.1142/s021968672450015x
K Wang, L Ding, F Dailami, J Matthews
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引用次数: 0
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Journal of Advanced Manufacturing Systems
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