Pub Date : 2023-01-01DOI: 10.1299/jamdsm.2023jamdsm0034
Taro Nakano, H. Koresawa, H. Narahara
{"title":"Tool condition monitoring method by anomaly segmentation of time-frequency images using acoustic emission in small hole drilling","authors":"Taro Nakano, H. Koresawa, H. Narahara","doi":"10.1299/jamdsm.2023jamdsm0034","DOIUrl":"https://doi.org/10.1299/jamdsm.2023jamdsm0034","url":null,"abstract":"","PeriodicalId":51070,"journal":{"name":"Journal of Advanced Mechanical Design Systems and Manufacturing","volume":"1 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66256525","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1299/jamdsm.2023jamdsm0037
Wei-Liang Chen, C. Tsay
{"title":"Undercutting analysis of recess action worm gear drives with double-depth teeth","authors":"Wei-Liang Chen, C. Tsay","doi":"10.1299/jamdsm.2023jamdsm0037","DOIUrl":"https://doi.org/10.1299/jamdsm.2023jamdsm0037","url":null,"abstract":"","PeriodicalId":51070,"journal":{"name":"Journal of Advanced Mechanical Design Systems and Manufacturing","volume":"1 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66256999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1299/jamdsm.2023jamdsm0059
Keisuke Nagasawa, Y. Kinoshita, K. Morikawa, Katsuhiko Takahashi
{"title":"Design of a robust closed-loop supply chain with backup suppliers under disruption scenarios","authors":"Keisuke Nagasawa, Y. Kinoshita, K. Morikawa, Katsuhiko Takahashi","doi":"10.1299/jamdsm.2023jamdsm0059","DOIUrl":"https://doi.org/10.1299/jamdsm.2023jamdsm0059","url":null,"abstract":"","PeriodicalId":51070,"journal":{"name":"Journal of Advanced Mechanical Design Systems and Manufacturing","volume":"1 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66257969","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1299/jamdsm.2023jamdsm0071
Dan LIANG, Ding Cai WANG, Jia Le CHU, Kai HU, Yong Long XI
Bearing surface quality has significant impact on the working performance and durability of the mechanical transmission equipment. The traditional visual detection methods for bearing surface defects face the problems of weak versatility, low efficiency and poor reliability. In this paper, a deep learning detection method for bearing side face based on data augmentation and convolutional neural network is proposed. Firstly, image expansion based on circle detection and polar coordinate transformation is utilized to facilitate the labeling process and improve the significance of bearing defect area. Secondly, a bearing sample data augmentation method is designed to construct the defect data set. Semi-supervised data enhancement based on local defect features, improved RA strategy, and Mosaic algorithm are used to augment the initial bearing sample data set. Thirdly, an improved Faster R-CNN framework for bearing defect detection is established. The ROI align pooling is used to improve the continuity of output features. The Resnet101 network and Leaky Relu activation function are used to avoid the tiny defect feature loss and function dead zone. Furthermore, the FPN is integrated into Resnet101 to improve the detection precision for multi-scale bearing defects. Experimental results show that the proposed method can effectively achieve accurate and rapid defect detection of bearing surface, with a mAP of 98.18%. The proposed data augmentation strategy and defect detection framework show great application potential in the automatic surface detection of mechanical components.
{"title":"Defect detection of bearing side face based on sample data augmentation and convolutional neural network","authors":"Dan LIANG, Ding Cai WANG, Jia Le CHU, Kai HU, Yong Long XI","doi":"10.1299/jamdsm.2023jamdsm0071","DOIUrl":"https://doi.org/10.1299/jamdsm.2023jamdsm0071","url":null,"abstract":"Bearing surface quality has significant impact on the working performance and durability of the mechanical transmission equipment. The traditional visual detection methods for bearing surface defects face the problems of weak versatility, low efficiency and poor reliability. In this paper, a deep learning detection method for bearing side face based on data augmentation and convolutional neural network is proposed. Firstly, image expansion based on circle detection and polar coordinate transformation is utilized to facilitate the labeling process and improve the significance of bearing defect area. Secondly, a bearing sample data augmentation method is designed to construct the defect data set. Semi-supervised data enhancement based on local defect features, improved RA strategy, and Mosaic algorithm are used to augment the initial bearing sample data set. Thirdly, an improved Faster R-CNN framework for bearing defect detection is established. The ROI align pooling is used to improve the continuity of output features. The Resnet101 network and Leaky Relu activation function are used to avoid the tiny defect feature loss and function dead zone. Furthermore, the FPN is integrated into Resnet101 to improve the detection precision for multi-scale bearing defects. Experimental results show that the proposed method can effectively achieve accurate and rapid defect detection of bearing surface, with a mAP of 98.18%. The proposed data augmentation strategy and defect detection framework show great application potential in the automatic surface detection of mechanical components.","PeriodicalId":51070,"journal":{"name":"Journal of Advanced Mechanical Design Systems and Manufacturing","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135561379","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1299/jamdsm.2023jamdsm0002
T. Kazama
{"title":"Influence of physical-property models on thermal elastohydrodynamic lubrication solutions","authors":"T. Kazama","doi":"10.1299/jamdsm.2023jamdsm0002","DOIUrl":"https://doi.org/10.1299/jamdsm.2023jamdsm0002","url":null,"abstract":"","PeriodicalId":51070,"journal":{"name":"Journal of Advanced Mechanical Design Systems and Manufacturing","volume":"1 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66254845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1299/jamdsm.2023jamdsm0009
T. Onuki, Kazuki Kaneko, Hirotaka Ojima, J. Shimizu, Li-bo Zhou
{"title":"Abrasive wear damages observation in engineering ceramics using micro-Raman tomography","authors":"T. Onuki, Kazuki Kaneko, Hirotaka Ojima, J. Shimizu, Li-bo Zhou","doi":"10.1299/jamdsm.2023jamdsm0009","DOIUrl":"https://doi.org/10.1299/jamdsm.2023jamdsm0009","url":null,"abstract":"","PeriodicalId":51070,"journal":{"name":"Journal of Advanced Mechanical Design Systems and Manufacturing","volume":"1 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66255283","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1299/jamdsm.2023jamdsm0021
Francis Chikweto, Takeshi Okuyama, Mami Tanaka
{"title":"Evaluation of a robotic palpation sensor system for prostate cancer screening on silicone elastomers and prostate phantoms","authors":"Francis Chikweto, Takeshi Okuyama, Mami Tanaka","doi":"10.1299/jamdsm.2023jamdsm0021","DOIUrl":"https://doi.org/10.1299/jamdsm.2023jamdsm0021","url":null,"abstract":"","PeriodicalId":51070,"journal":{"name":"Journal of Advanced Mechanical Design Systems and Manufacturing","volume":"1 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66255745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1299/jamdsm.2023jamdsm0069
Ji QIU, Linhuan GONG, Li LIU, Limin LUO, Junqiang LOU
In this article, a novel optimal design method for segmented modification of cycloid gear tooth profile was proposed to improve transmission efficiency. Firstly, the cycloid tooth profile under segmented modification was analyzed. Secondly, the mathematical model of the meshing phase angle of the working segment of the cycloid gear with the highest transmission efficiency was established, and such optimization was achieved by the particle swarm algorithm，and the important indexes were calculated and compared with the basic segmented modification method. Finally, the tooth profile of the cycloid gear under the new design method was obtained by numerical solution. To verify the method, the processing technology of cycloid gear is designed, and the comparison of performance testing between the new proposed method and conventional basic segmented modification was conducted and analyzed by the assembled RV reducer prototype in accordingly. The results show the temperature rise of the RV reducer under the optimized method was reduced by 1.2℃ under the rated load, and the torsional stiffness and transmission efficiency were increased by 0.03N·m/" and 1.8%, respectively, compared with the basic segmented modification method, which shows that this method can effectively overcome the disadvantage of low transmission efficiency under the basic segmented modification method.
{"title":"An novel optimal design method for segmented modification of cycloid gear based on improved transmission efficiency","authors":"Ji QIU, Linhuan GONG, Li LIU, Limin LUO, Junqiang LOU","doi":"10.1299/jamdsm.2023jamdsm0069","DOIUrl":"https://doi.org/10.1299/jamdsm.2023jamdsm0069","url":null,"abstract":"In this article, a novel optimal design method for segmented modification of cycloid gear tooth profile was proposed to improve transmission efficiency. Firstly, the cycloid tooth profile under segmented modification was analyzed. Secondly, the mathematical model of the meshing phase angle of the working segment of the cycloid gear with the highest transmission efficiency was established, and such optimization was achieved by the particle swarm algorithm，and the important indexes were calculated and compared with the basic segmented modification method. Finally, the tooth profile of the cycloid gear under the new design method was obtained by numerical solution. To verify the method, the processing technology of cycloid gear is designed, and the comparison of performance testing between the new proposed method and conventional basic segmented modification was conducted and analyzed by the assembled RV reducer prototype in accordingly. The results show the temperature rise of the RV reducer under the optimized method was reduced by 1.2℃ under the rated load, and the torsional stiffness and transmission efficiency were increased by 0.03N·m/\" and 1.8%, respectively, compared with the basic segmented modification method, which shows that this method can effectively overcome the disadvantage of low transmission efficiency under the basic segmented modification method.","PeriodicalId":51070,"journal":{"name":"Journal of Advanced Mechanical Design Systems and Manufacturing","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135562918","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Design methods for riding behavior-based collision avoidance systems (Structural equation modeling and decision tree analysis)","authors":"Kifle Hailu Gebretsadik, Ryo Yamamoto, Keisuke Suzuki","doi":"10.1299/jamdsm.2023jamdsm0057","DOIUrl":"https://doi.org/10.1299/jamdsm.2023jamdsm0057","url":null,"abstract":"","PeriodicalId":51070,"journal":{"name":"Journal of Advanced Mechanical Design Systems and Manufacturing","volume":"1 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66257962","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1299/jamdsm.2023jamdsm0007
Shoichi Tamura, T. Kaburagi, Y. Kamakoshi, T. Matsumura
{"title":"Anisotropic micro cutting of rolled titanium alloy","authors":"Shoichi Tamura, T. Kaburagi, Y. Kamakoshi, T. Matsumura","doi":"10.1299/jamdsm.2023jamdsm0007","DOIUrl":"https://doi.org/10.1299/jamdsm.2023jamdsm0007","url":null,"abstract":"","PeriodicalId":51070,"journal":{"name":"Journal of Advanced Mechanical Design Systems and Manufacturing","volume":"1 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66254830","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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