{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T00:54:22Z","timestamp":1760230462105,"version":"build-2065373602"},"reference-count":21,"publisher":"MDPI AG","issue":"15","license":[{"start":{"date-parts":[[2022,7,27]],"date-time":"2022-07-27T00:00:00Z","timestamp":1658880000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Polymers"],"abstract":"<jats:p>This paper analyzes the structure of the key parts of the car belt guide, and the average stress of the vulnerable parts is simulated by analysis software. The theoretical stress of the section is calculated. The theoretical stress concentration factor (Kt) is given. The relation between the gap radius and the notch coefficient (Kf) was studied according to a previous Kf calculation formula. The tensile tests of real products are used as reference data. The results showed that Kf and Kt are linear in most cases, but there are also cases of non-compliance. The relationship between the fatigue notch coefficient Kf and the theoretical stress concentration coefficient Kt was closely related to the service life and fatigue strength of the product. In addition, we found that the size and direction of warpage improved significantly with the increase of fillet size, which was not consistent with the effect of adding glass fiber material. The rounded corners of ordinary PP materials usually displayed forward warping, but the addition of glass fiber into PP materials made the degree of warping smaller, or even led to reverse warping. The size of rounded corners is an important optimization parameter. The relationship between Kf and Kt was studied from the perspectives of virtual measurement (VM) and recognizable performance evaluation (RPM). According to abnormal filling pressure, these relationships were compared with filling data to generate a fracture initiation control model. Based on a large amount of normal process data and quality inspection data, the historical data (causes) and quality inspection data (results) were combined.<\/jats:p>","DOI":"10.3390\/polym14153043","type":"journal-article","created":{"date-parts":[[2022,7,28]],"date-time":"2022-07-28T03:21:16Z","timestamp":1658978476000},"page":"3043","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Predicting of Process Parameters for Theoretical Concentrated Stress of Fatigue Notch Coefficient of Auto Parts Using Virtual Recognizable Performance Evaluation Research"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0034-6303","authenticated-orcid":false,"given":"Hanjui","family":"Chang","sequence":"first","affiliation":[{"name":"Department of Mechanical Engineering, College of Engineering, Shantou University, Shantou 515063, China"},{"name":"Intelligent Manufacturing Key Laboratory of Ministry of Education, Shantou University, Shantou 515063, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1154-8664","authenticated-orcid":false,"given":"Shuzhou","family":"Lu","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, College of Engineering, Shantou University, Shantou 515063, China"},{"name":"Intelligent Manufacturing Key Laboratory of Ministry of Education, Shantou University, Shantou 515063, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yue","family":"Sun","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, College of Engineering, Shantou University, Shantou 515063, China"},{"name":"Intelligent Manufacturing Key Laboratory of Ministry of Education, Shantou University, Shantou 515063, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guangyi","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, College of Engineering, Shantou University, Shantou 515063, China"},{"name":"Intelligent Manufacturing Key Laboratory of Ministry of Education, Shantou University, Shantou 515063, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,7,27]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"126","DOI":"10.1016\/j.promfg.2018.10.023","article-title":"A convolutional autoencoder approach for feature extraction in virtual metrology","volume":"17","author":"Maggipinto","year":"2018","journal-title":"Procedia Manuf."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1016\/S0142-1123(02)00053-1","article-title":"Notch size effects in the fatigue limit of steel","volume":"25","author":"Makkonen","year":"2003","journal-title":"Int. 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