Pub Date : 2022-01-01DOI: 10.1299/jamdsm.2022jamdsm0006
Bingbing Zhong, Hailan Song, Huaiju Liu, P. Wei, Zehua Lu
As one of the most common polymer materials, POM gear has been widely applied in automatic transmission boxes, intelligent house devices, etc. Though the mechanical properties of POM material have been extensively studied, the loading capacity and failure mechanism of POM gear still require to be explored. This paper experimentally investigates the loading capacity of medium-module POM gears based upon the durability test under various loading conditions. The POM gears are mated with 18CrNiMo7-6 steel pinions. The tooth wear, surface roughness, and tooth profile evolution are recorded. In the experimental results, the contact fatigue failure was observed in tooth flank of the POM gear with medium modulus under oil lubrication conditions, including tooth surface pitting and fatigue cracks. And according to the experimental durability life data, the contact fatigue S-N curve of POM gear is fitted.
{"title":"Loading capacity of POM gear under oil lubrication","authors":"Bingbing Zhong, Hailan Song, Huaiju Liu, P. Wei, Zehua Lu","doi":"10.1299/jamdsm.2022jamdsm0006","DOIUrl":"https://doi.org/10.1299/jamdsm.2022jamdsm0006","url":null,"abstract":"As one of the most common polymer materials, POM gear has been widely applied in automatic transmission boxes, intelligent house devices, etc. Though the mechanical properties of POM material have been extensively studied, the loading capacity and failure mechanism of POM gear still require to be explored. This paper experimentally investigates the loading capacity of medium-module POM gears based upon the durability test under various loading conditions. The POM gears are mated with 18CrNiMo7-6 steel pinions. The tooth wear, surface roughness, and tooth profile evolution are recorded. In the experimental results, the contact fatigue failure was observed in tooth flank of the POM gear with medium modulus under oil lubrication conditions, including tooth surface pitting and fatigue cracks. And according to the experimental durability life data, the contact fatigue S-N curve of POM gear is fitted.","PeriodicalId":51070,"journal":{"name":"Journal of Advanced Mechanical Design Systems and Manufacturing","volume":"1 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66251816","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 : 2022-01-01DOI: 10.1299/jamdsm.2022jamdsm0063
Xin Xie, Lei Xu, Xinlei Li, Bin Wang, Tiancheng Wan
Given the shortcomings of conventional machine vision-based surface defect detection methods, including their low accuracy, long development cycle, and poor generalization ability, this paper proposes a surface defect detection model based on the convolutional block attention module and atrous convolution. This model combines the surface defect segmentation task of the product with the classification task, obtains contextual information of the image at multiple scales using atrous spatial pyramid pooling, and then uses the convolutional block attention module to reallocate the weighting of the network to enhance focus on the defect area and improve the discrimination of extracted features. In addition, atrous convolution was introduced in the deep network to simplify the model when used in defect segmentation tasks and enhances the real-time performance of the model defect detection method. Experiments show the superior accuracy and real-time performance of the proposed model when compared with current mainstream surface defect detection methods and indicate its wide applicability in the detection of surface defects in industrial products.
{"title":"A high-effective multitask surface defect detection method based on CBAM and atrous convolution","authors":"Xin Xie, Lei Xu, Xinlei Li, Bin Wang, Tiancheng Wan","doi":"10.1299/jamdsm.2022jamdsm0063","DOIUrl":"https://doi.org/10.1299/jamdsm.2022jamdsm0063","url":null,"abstract":"Given the shortcomings of conventional machine vision-based surface defect detection methods, including their low accuracy, long development cycle, and poor generalization ability, this paper proposes a surface defect detection model based on the convolutional block attention module and atrous convolution. This model combines the surface defect segmentation task of the product with the classification task, obtains contextual information of the image at multiple scales using atrous spatial pyramid pooling, and then uses the convolutional block attention module to reallocate the weighting of the network to enhance focus on the defect area and improve the discrimination of extracted features. In addition, atrous convolution was introduced in the deep network to simplify the model when used in defect segmentation tasks and enhances the real-time performance of the model defect detection method. Experiments show the superior accuracy and real-time performance of the proposed model when compared with current mainstream surface defect detection methods and indicate its wide applicability in the detection of surface defects in industrial products.","PeriodicalId":51070,"journal":{"name":"Journal of Advanced Mechanical Design Systems and Manufacturing","volume":"1 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66254409","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":"A speech-driven pupil response system with affective highlight by virtual lighting","authors":"Yoshihiro Sejima, Hiroki Kawamoto, Yoichiro Sato, Tomio Watanabe","doi":"10.1299/jamdsm.2022jamdsm0058","DOIUrl":"https://doi.org/10.1299/jamdsm.2022jamdsm0058","url":null,"abstract":"","PeriodicalId":51070,"journal":{"name":"Journal of Advanced Mechanical Design Systems and Manufacturing","volume":"1 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66254449","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 : 2022-01-01DOI: 10.1299/jamdsm.2022jamdsm0020
Swapnil K. Gundewar, P. Kane, A. Andhare
{"title":"Detection of broken rotor bar fault in an induction motor using convolution neural network","authors":"Swapnil K. Gundewar, P. Kane, A. Andhare","doi":"10.1299/jamdsm.2022jamdsm0020","DOIUrl":"https://doi.org/10.1299/jamdsm.2022jamdsm0020","url":null,"abstract":"","PeriodicalId":51070,"journal":{"name":"Journal of Advanced Mechanical Design Systems and Manufacturing","volume":"56 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66253168","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 : 2022-01-01DOI: 10.1299/jamdsm.2022jamdsm0013
Sansot Panich, Phimmat Kalawong
panels. However, the Forming Limit Curve (FLC) inappropriately induces to predict the bendability in hemming process as it has a different failure mechanism and deformed sheet metals can undergo greater bending than predicted by the FLC. In this work, the newly developed Bending Limit Curve (BLC) based on strain and stress were experimentally and numerically proposed for bendability prediction tools of hemming process in assembling automotive body panels. For the experimental procedures, the BLC based on strain of dual phase steel grade DP590 with a thickness of 1.0 mm was experimentally determined by simulative tests. Firstly, the various steel sample geometries were pre-stretched using the modified Marciniak in-plane stretch-forming tests for realistic reflection with the stamping processes before hemming process. Afterwards, to establish the BLC, the pre-stretched samples were experimentally conducted on a three-point bending test. Moreover, the influence of different bending radius of 0.4 and 2.0 mm on BLC was investigated both of BLCs and Bending Limit Stress Curves (BLSCs). The obtained BLSCs were plastically calculated by using the experimental BLC data corresponding with punch plate radii, which were coupled with anisotropic yield criteria namely, Hill’48 and Yld2000-2d and the Swift hardening model. It was found that the developed BLC exhibited greater strain level than the FLC. Obviously, the higher punch radius established lower strain and stress level of BLC and BLSC, respectively. The experimental BLSCs have the similar trend of their curves which used same yield criterion. In conclusion, the BLCs and BLSCs were completely accomplished to realistically predict the bending and hemming process. The calculated BLSCs are not sensitive with non-linear strain paths which establishes before hemming process.
{"title":"Development of bending limit strain and stress curves of bendability prediction for assembling automotive body panels","authors":"Sansot Panich, Phimmat Kalawong","doi":"10.1299/jamdsm.2022jamdsm0013","DOIUrl":"https://doi.org/10.1299/jamdsm.2022jamdsm0013","url":null,"abstract":"panels. However, the Forming Limit Curve (FLC) inappropriately induces to predict the bendability in hemming process as it has a different failure mechanism and deformed sheet metals can undergo greater bending than predicted by the FLC. In this work, the newly developed Bending Limit Curve (BLC) based on strain and stress were experimentally and numerically proposed for bendability prediction tools of hemming process in assembling automotive body panels. For the experimental procedures, the BLC based on strain of dual phase steel grade DP590 with a thickness of 1.0 mm was experimentally determined by simulative tests. Firstly, the various steel sample geometries were pre-stretched using the modified Marciniak in-plane stretch-forming tests for realistic reflection with the stamping processes before hemming process. Afterwards, to establish the BLC, the pre-stretched samples were experimentally conducted on a three-point bending test. Moreover, the influence of different bending radius of 0.4 and 2.0 mm on BLC was investigated both of BLCs and Bending Limit Stress Curves (BLSCs). The obtained BLSCs were plastically calculated by using the experimental BLC data corresponding with punch plate radii, which were coupled with anisotropic yield criteria namely, Hill’48 and Yld2000-2d and the Swift hardening model. It was found that the developed BLC exhibited greater strain level than the FLC. Obviously, the higher punch radius established lower strain and stress level of BLC and BLSC, respectively. The experimental BLSCs have the similar trend of their curves which used same yield criterion. In conclusion, the BLCs and BLSCs were completely accomplished to realistically predict the bending and hemming process. The calculated BLSCs are not sensitive with non-linear strain paths which establishes before hemming process.","PeriodicalId":51070,"journal":{"name":"Journal of Advanced Mechanical Design Systems and Manufacturing","volume":"1 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66252483","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 : 2022-01-01DOI: 10.1299/jamdsm.2022jamdsm0022
Song Gao, T. Kazama
{"title":"Validation of leakage control with oil temperature-viscosity relationship for a standard flange gasket model","authors":"Song Gao, T. Kazama","doi":"10.1299/jamdsm.2022jamdsm0022","DOIUrl":"https://doi.org/10.1299/jamdsm.2022jamdsm0022","url":null,"abstract":"","PeriodicalId":51070,"journal":{"name":"Journal of Advanced Mechanical Design Systems and Manufacturing","volume":"1 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66253041","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":"Effect of temperature on the frictional behavior of 18CrNiMo7-6 under lubrication","authors":"Fei Liu, Yonghong Chen, Heping Xie, Chenyang Dou, Bing-kui Chen","doi":"10.1299/jamdsm.2022jamdsm0019","DOIUrl":"https://doi.org/10.1299/jamdsm.2022jamdsm0019","url":null,"abstract":"","PeriodicalId":51070,"journal":{"name":"Journal of Advanced Mechanical Design Systems and Manufacturing","volume":"1 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66253087","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 : 2022-01-01DOI: 10.1299/jamdsm.2022jamdsm0047
I. Nitta, R. Takahashi, Yosuke Tsukiyama
{"title":"Mechanical behaviour of porous metals fabricated by low-power selective laser melting","authors":"I. Nitta, R. Takahashi, Yosuke Tsukiyama","doi":"10.1299/jamdsm.2022jamdsm0047","DOIUrl":"https://doi.org/10.1299/jamdsm.2022jamdsm0047","url":null,"abstract":"","PeriodicalId":51070,"journal":{"name":"Journal of Advanced Mechanical Design Systems and Manufacturing","volume":"1 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66253562","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":"A set-based approach to dynamic system design using physics informed neural network","authors":"Kohei Shintani, Eiji Nakatsugawa, Minoru Tsuchiyama","doi":"10.1299/jamdsm.2022jamdsm0051","DOIUrl":"https://doi.org/10.1299/jamdsm.2022jamdsm0051","url":null,"abstract":"","PeriodicalId":51070,"journal":{"name":"Journal of Advanced Mechanical Design Systems and Manufacturing","volume":"1 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66253978","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 : 2022-01-01DOI: 10.1299/jamdsm.2022jamdsm0062
Hikaru Tanaya, Y. Nagai
the current food manufacturing technology. This is why we had to investigate a novel approach to clarify how voids affect food texture. Abstract Air bubbles can affect the texture of various food products. For example, the number, radii, and radii variance of air bubbles can change the firmness and elasticity of aerated food products. However, the contribution of such geometric features to food texture has not been investigated thoroughly. If the relationship between air bubbles and food texture is clarified, the internal structure of food items can be designed based on its texture. Thus, in this study, we developed an algorithm to analyze the relationship between the geometric features of air bubbles and food textures and to determine the food’s internal structure giving an intended texture. First, the bubbles’ geometric features are analyzed using X-ray CT scan. Second, the textures are quantified using the Temporal Dominance of Sensations (TDS). Finally, the relationship between the geometric features of bubbles and the food texture is calculated via regression analysis. An experiment was performed according to the above procedure, in which aerated chocolates were adopted as specimens because their relatively high densities yield high quality CT datasets. The experimental results demonstrated that the crumbly texture has a high correlation with the number, radii, and radii variance of air bubbles, and the gooey texture exhibited strong correlation with the number of air bubbles, the radii of air bubbles, and sugar content. For these two texture geometry relationships, we computed geometric models of aerated chocolates expected to realize these two textures.
{"title":"Investigating the relationship between geometric features of voids and textures in aerated foods","authors":"Hikaru Tanaya, Y. Nagai","doi":"10.1299/jamdsm.2022jamdsm0062","DOIUrl":"https://doi.org/10.1299/jamdsm.2022jamdsm0062","url":null,"abstract":"the current food manufacturing technology. This is why we had to investigate a novel approach to clarify how voids affect food texture. Abstract Air bubbles can affect the texture of various food products. For example, the number, radii, and radii variance of air bubbles can change the firmness and elasticity of aerated food products. However, the contribution of such geometric features to food texture has not been investigated thoroughly. If the relationship between air bubbles and food texture is clarified, the internal structure of food items can be designed based on its texture. Thus, in this study, we developed an algorithm to analyze the relationship between the geometric features of air bubbles and food textures and to determine the food’s internal structure giving an intended texture. First, the bubbles’ geometric features are analyzed using X-ray CT scan. Second, the textures are quantified using the Temporal Dominance of Sensations (TDS). Finally, the relationship between the geometric features of bubbles and the food texture is calculated via regression analysis. An experiment was performed according to the above procedure, in which aerated chocolates were adopted as specimens because their relatively high densities yield high quality CT datasets. The experimental results demonstrated that the crumbly texture has a high correlation with the number, radii, and radii variance of air bubbles, and the gooey texture exhibited strong correlation with the number of air bubbles, the radii of air bubbles, and sugar content. For these two texture geometry relationships, we computed geometric models of aerated chocolates expected to realize these two textures.","PeriodicalId":51070,"journal":{"name":"Journal of Advanced Mechanical Design Systems and Manufacturing","volume":"10 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66254256","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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