首页 > 最新文献

Journal of Advanced Manufacturing Systems最新文献

英文 中文
Analysis of robustness of the operational performance using a combined model of design of experiment and goal programming approaches for a flexible manufacturing cell 基于实验设计与目标规划相结合的柔性制造单元运行性能鲁棒性分析
IF 1.4 Q4 ENGINEERING, MANUFACTURING Pub Date : 2022-02-19 DOI: 10.1142/s0219686723500038
Y. Iç, Mustafa Yurdakul, B. Dengiz, T. Şaşmaz
{"title":"Analysis of robustness of the operational performance using a combined model of design of experiment and goal programming approaches for a flexible manufacturing cell","authors":"Y. Iç, Mustafa Yurdakul, B. Dengiz, T. Şaşmaz","doi":"10.1142/s0219686723500038","DOIUrl":"https://doi.org/10.1142/s0219686723500038","url":null,"abstract":"","PeriodicalId":44935,"journal":{"name":"Journal of Advanced Manufacturing Systems","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2022-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43773510","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: 1
Comparative Analysis of Grey Relational Analysis Integrated with the Principal Component Analysis and Analytic Hierarchy Process for Multiobjective Optimization of Inclined Laser Percussion Drilling in Carbon Fiber Reinforced Composites 碳纤维增强复合材料倾斜激光冲击钻孔多目标优化的灰色关联分析与主成分分析及层次分析法的比较分析
IF 1.4 Q4 ENGINEERING, MANUFACTURING Pub Date : 2022-02-11 DOI: 10.1142/s0219686721500475
Y. Mishra, S. Mishra, S. Jayswal
Multiobjective optimization (MOO) helps to achieve simultaneous improvement of more than one output characteristic in machining processes where complex interaction between the input parameter exists. This study focuses on the comparative analysis of design of experiment (DoE)-based grey relational analysis (GRA) combined with principal component analysis (PCA) and analytic hierarchy process (AHP). Experiments were conducted with millisecond (ms) duration pulsed Nd: YAG laser using the Box–Behnken design (BBD) approach of the response surface methodology (RSM) at three different levels of input parameters. The output parameters, i.e., hole circularity at top (HCT), hole circularity at bottom (HCB), and hole taper (HT), were determined for various input parameters like pulse current (I), pulse width ([Formula: see text]), gas pressure ([Formula: see text]), workpiece thickness ([Formula: see text]), and incidence angle ([Formula: see text]) during laser percussion inclined hole drilling (LPIHD) in the carbon fiber reinforced polymer (CFRP) of three different thickness, i.e., 1[Formula: see text]mm, 3[Formula: see text]mm, and 5[Formula: see text]mm at incidence angles of 0, 10, and 20 degrees. Multiobjective function based on RSM has been developed for GRA-PCA and GRA-AHP and further optimizations were performed using the desirability approach of RSM. The analysis revealed that the angle of incidence is the most significant factor for controlling the output parameters. Interaction of pulse current and thickness ([Formula: see text]) has a major impact on output responses. The GRA-PCA approach gives the average improvement of 2%, 9%, and 37%, respectively, for HCT, HCB, and HT, whereas in the case of GRA-AHP, the corresponding improvements are only 1%, 6%, and 11%. Therefore, the GRA-PCA approach is a more effective tool for the MOO of LPIHD in CFRP.
多目标优化(MOO)有助于在输入参数之间存在复杂交互的加工过程中同时改善一个以上的输出特性。本研究的重点是基于实验设计的灰色关联分析(GRA)与主成分分析(PCA)和层次分析法(AHP)相结合的比较分析。使用响应面法(RSM)的Box-Behnken设计(BBD)方法,在三个不同的输入参数水平下,用毫秒(ms)持续时间的脉冲Nd:YAG激光器进行了实验。对于各种输入参数,如脉冲电流(i)、脉冲宽度([公式:见正文])、气压([公式,见正文],以及在入射角为0度、10度和20度的三种不同厚度的碳纤维增强聚合物(CFRP)中激光冲击斜孔钻孔(LPIHD)期间的入射角([公式:见正文]),即1[公式:见正文]mm、3[公式:看正文]mm和5[公式:见图正文]mm。针对GRA-PCA和GRA-AHP,开发了基于RSM的多目标函数,并利用RSM的合意性方法进行了进一步的优化。分析表明,入射角是控制输出参数的最重要因素。脉冲电流和厚度的相互作用([公式:见正文])对输出响应有重大影响。GRA-PCA方法对HCT、HCB和HT的平均改善分别为2%、9%和37%,而在GRA-AHP的情况下,相应的改善仅为1%、6%和11%。因此,GRA-PCA方法是CFRP中LPIHD MOO的一种更有效的工具。
{"title":"Comparative Analysis of Grey Relational Analysis Integrated with the Principal Component Analysis and Analytic Hierarchy Process for Multiobjective Optimization of Inclined Laser Percussion Drilling in Carbon Fiber Reinforced Composites","authors":"Y. Mishra, S. Mishra, S. Jayswal","doi":"10.1142/s0219686721500475","DOIUrl":"https://doi.org/10.1142/s0219686721500475","url":null,"abstract":"Multiobjective optimization (MOO) helps to achieve simultaneous improvement of more than one output characteristic in machining processes where complex interaction between the input parameter exists. This study focuses on the comparative analysis of design of experiment (DoE)-based grey relational analysis (GRA) combined with principal component analysis (PCA) and analytic hierarchy process (AHP). Experiments were conducted with millisecond (ms) duration pulsed Nd: YAG laser using the Box–Behnken design (BBD) approach of the response surface methodology (RSM) at three different levels of input parameters. The output parameters, i.e., hole circularity at top (HCT), hole circularity at bottom (HCB), and hole taper (HT), were determined for various input parameters like pulse current (I), pulse width ([Formula: see text]), gas pressure ([Formula: see text]), workpiece thickness ([Formula: see text]), and incidence angle ([Formula: see text]) during laser percussion inclined hole drilling (LPIHD) in the carbon fiber reinforced polymer (CFRP) of three different thickness, i.e., 1[Formula: see text]mm, 3[Formula: see text]mm, and 5[Formula: see text]mm at incidence angles of 0, 10, and 20 degrees. Multiobjective function based on RSM has been developed for GRA-PCA and GRA-AHP and further optimizations were performed using the desirability approach of RSM. The analysis revealed that the angle of incidence is the most significant factor for controlling the output parameters. Interaction of pulse current and thickness ([Formula: see text]) has a major impact on output responses. The GRA-PCA approach gives the average improvement of 2%, 9%, and 37%, respectively, for HCT, HCB, and HT, whereas in the case of GRA-AHP, the corresponding improvements are only 1%, 6%, and 11%. Therefore, the GRA-PCA approach is a more effective tool for the MOO of LPIHD in CFRP.","PeriodicalId":44935,"journal":{"name":"Journal of Advanced Manufacturing Systems","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2022-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46361791","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: 1
Investigations on the choice of Johnson-Cook constitutive model parameters for the orthogonal cutting simulation of Inconel 718 铬镍铁合金718正交切削模拟Johnson—Cook本构模型参数选择的研究
IF 1.4 Q4 ENGINEERING, MANUFACTURING Pub Date : 2022-02-03 DOI: 10.1142/s0219686723500014
M. Gurusamy, Siddharth Sriram
{"title":"Investigations on the choice of Johnson-Cook constitutive model parameters for the orthogonal cutting simulation of Inconel 718","authors":"M. Gurusamy, Siddharth Sriram","doi":"10.1142/s0219686723500014","DOIUrl":"https://doi.org/10.1142/s0219686723500014","url":null,"abstract":"","PeriodicalId":44935,"journal":{"name":"Journal of Advanced Manufacturing Systems","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2022-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47268580","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
On the performance of multivariate homogeneously weighted moving average chart for monitoring the process mean in the presence of measurement errors 多元均匀加权移动平均图在存在测量误差的情况下监测过程平均值的性能
IF 1.4 Q4 ENGINEERING, MANUFACTURING Pub Date : 2022-01-31 DOI: 10.1142/s0219686723500026
Sahand Yousefi, M. Maleki, A. Salmasnia, Maryam Kiani Anbohi
{"title":"On the performance of multivariate homogeneously weighted moving average chart for monitoring the process mean in the presence of measurement errors","authors":"Sahand Yousefi, M. Maleki, A. Salmasnia, Maryam Kiani Anbohi","doi":"10.1142/s0219686723500026","DOIUrl":"https://doi.org/10.1142/s0219686723500026","url":null,"abstract":"","PeriodicalId":44935,"journal":{"name":"Journal of Advanced Manufacturing Systems","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2022-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47678582","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: 5
Neural Network (NN) Based RSM- PSO Multi-Response Parametric Optimization of Electro Chemical Discharge Micro-Machining Process during Micro-Channel Cutting on Silica Glass 基于神经网络的RSM-PSO多响应参数优化硅玻璃微细通道电火花微细加工工艺
IF 1.4 Q4 ENGINEERING, MANUFACTURING Pub Date : 2022-01-26 DOI: 10.1142/s0219686722500330
Sadashiv Bellubbi, B. Mallick, A. S. Hameed, P. Dutta, M. K. Sarkar, Sathisha Nanjundaswamy
{"title":"Neural Network (NN) Based RSM- PSO Multi-Response Parametric Optimization of Electro Chemical Discharge Micro-Machining Process during Micro-Channel Cutting on Silica Glass","authors":"Sadashiv Bellubbi, B. Mallick, A. S. Hameed, P. Dutta, M. K. Sarkar, Sathisha Nanjundaswamy","doi":"10.1142/s0219686722500330","DOIUrl":"https://doi.org/10.1142/s0219686722500330","url":null,"abstract":"","PeriodicalId":44935,"journal":{"name":"Journal of Advanced Manufacturing Systems","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2022-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43558483","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: 2
Experimental Studies on Geometrical Accuracy During Single Point Incremental Forming of Inconel 625 Superalloy Inconel 625高温合金单点增量成形几何精度的实验研究
IF 1.4 Q4 ENGINEERING, MANUFACTURING Pub Date : 2022-01-26 DOI: 10.1142/s0219686722500317
P. Bishnoi, P. Chandna
{"title":"Experimental Studies on Geometrical Accuracy During Single Point Incremental Forming of Inconel 625 Superalloy","authors":"P. Bishnoi, P. Chandna","doi":"10.1142/s0219686722500317","DOIUrl":"https://doi.org/10.1142/s0219686722500317","url":null,"abstract":"","PeriodicalId":44935,"journal":{"name":"Journal of Advanced Manufacturing Systems","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2022-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48509992","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: 1
An Approach of Empirical Model Uncertainty Estimation During Physical Quantities Investigation in Turning 车削物理量调查中经验模型不确定性估计方法
IF 1.4 Q4 ENGINEERING, MANUFACTURING Pub Date : 2022-01-26 DOI: 10.1142/s0219686722500329
N. Trajchevski, M. Tomov, V. Šarac
{"title":"An Approach of Empirical Model Uncertainty Estimation During Physical Quantities Investigation in Turning","authors":"N. Trajchevski, M. Tomov, V. Šarac","doi":"10.1142/s0219686722500329","DOIUrl":"https://doi.org/10.1142/s0219686722500329","url":null,"abstract":"","PeriodicalId":44935,"journal":{"name":"Journal of Advanced Manufacturing Systems","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2022-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49402800","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: 1
Simultaneous Scheduling of Machines and Tools in a Multi Machine FMS with Alternate Machines Using Crow Search Algorithm 基于Crow搜索算法的多机FMS中的机床同时调度
IF 1.4 Q4 ENGINEERING, MANUFACTURING Pub Date : 2021-12-31 DOI: 10.1142/s0219686722500305
N. Sivarami Reddy, M. Padma Lalitha, D. Ramamurthy, K. Prahlada Rao
{"title":"Simultaneous Scheduling of Machines and Tools in a Multi Machine FMS with Alternate Machines Using Crow Search Algorithm","authors":"N. Sivarami Reddy, M. Padma Lalitha, D. Ramamurthy, K. Prahlada Rao","doi":"10.1142/s0219686722500305","DOIUrl":"https://doi.org/10.1142/s0219686722500305","url":null,"abstract":"","PeriodicalId":44935,"journal":{"name":"Journal of Advanced Manufacturing Systems","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46233243","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: 1
Magnetic abrasive polishing of Stainless Steel SS304 with diamond-based sintered magnetic abrasives 金刚石基烧结磁性磨料对SS304不锈钢的磁性研磨抛光
IF 1.4 Q4 ENGINEERING, MANUFACTURING Pub Date : 2021-12-09 DOI: 10.1142/s0219686722500299
J. S. Gill, L. Singh
{"title":"Magnetic abrasive polishing of Stainless Steel SS304 with diamond-based sintered magnetic abrasives","authors":"J. S. Gill, L. Singh","doi":"10.1142/s0219686722500299","DOIUrl":"https://doi.org/10.1142/s0219686722500299","url":null,"abstract":"","PeriodicalId":44935,"journal":{"name":"Journal of Advanced Manufacturing Systems","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2021-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47453852","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
A Perspective of Flexible Manufacturing System in Manufacturing Sectors 制造业柔性制造系统的视角
IF 1.4 Q4 ENGINEERING, MANUFACTURING Pub Date : 2021-12-09 DOI: 10.1142/s0219686722500287
K. Ganvir, R. Jain
{"title":"A Perspective of Flexible Manufacturing System in Manufacturing Sectors","authors":"K. Ganvir, R. Jain","doi":"10.1142/s0219686722500287","DOIUrl":"https://doi.org/10.1142/s0219686722500287","url":null,"abstract":"","PeriodicalId":44935,"journal":{"name":"Journal of Advanced Manufacturing Systems","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2021-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44514007","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
期刊
Journal of Advanced Manufacturing Systems
全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1