Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering最新文献_第10页

Measurement of additively manufactured part dimensions using OpenCV for process monitoring 使用 OpenCV 测量快速成型部件的尺寸以进行过程监控

Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering Pub Date : 2024-01-30 DOI: 10.1177/09544089241227894

Pradeep Castro, Gurusamy Pathinettampadian, Sarankumar Thanigainathan, Vignesh Prabakar, Rahul Anandha Krishnan, M. Subramaniyan

{"title":"Measurement of additively manufactured part dimensions using OpenCV for process monitoring","authors":"Pradeep Castro, Gurusamy Pathinettampadian, Sarankumar Thanigainathan, Vignesh Prabakar, Rahul Anandha Krishnan, M. Subramaniyan","doi":"10.1177/09544089241227894","DOIUrl":"https://doi.org/10.1177/09544089241227894","url":null,"abstract":"Dimensional accuracies are affected due to various factors which include warping, ambient temperature, material properties, etc. In-situ process monitoring and controlling in additive manufacturing is one of the ways to reduce defects in three-dimensional (3D) printed parts through continuous monitoring and correcting the process parameters. By considering the dimensions of a printed part, the part is usually inspected after completing the printing process. In this study, a new method for determining dimensional values of fused deposition modeling printed parts during the printing process is proposed using the Open-source Computer Vision Library (OpenCV). This method of determining the dimensions of a part would be useful for a user to verify the dimensions of the part being built at various stages. This could ensure the dimensional accuracy of the part is constant throughout the printing. By adopting this method to measure the dimensions, prevents wastage of material with poor dimensional accuracy and saves time by producing only accurate parts.","PeriodicalId":506108,"journal":{"name":"Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering","volume":"212 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140485495","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

Effect of different ceramic fillers filled with GF/PTFE on the tensile and compressive properties of the composites 填充 GF/PTFE 的不同陶瓷填料对复合材料拉伸和压缩性能的影响

Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering Pub Date : 2024-01-30 DOI: 10.1177/09544089231218104

Guang-hui Yang, Xin Ji

{"title":"Effect of different ceramic fillers filled with GF/PTFE on the tensile and compressive properties of the composites","authors":"Guang-hui Yang, Xin Ji","doi":"10.1177/09544089231218104","DOIUrl":"https://doi.org/10.1177/09544089231218104","url":null,"abstract":"In this article, six ceramic-filled glass fiber (GF)/PTFE-based composites were fabricated using 15 wt.% mass fraction GF and 80 wt.% PTFE as matrix materials and 5 wt.% mass fraction ceramic materials such as Al2O3, MoS2, TiO2, BaSO4, hollow glass beads (HGB), and solid glass beads (SGB) as filler materials, respectively, at 44 MPa molding pressure and sintering temperature of 370°C. The tensile strength, elongation at break, and compressive strength at room temperature and 250°C were investigated for six composites. Finally, the surface morphology of the composites was characterized using the ultradeep field electron microscope. The results show that MoS2 has the best synergistic strengthening effect with GF in PTFE matrix, but the toughening effect is less obvious, so MoS2/GF/PTFE exhibits the maximum hardness (66) and tensile strength (18.16 MPa) and the minimum elongation at break (94.72%), while HGB/GF/PTFE composites exhibit the minimum hardness (61) and tensile strength (15.04 MPa) and the maximum elongation at break (360.36%). In addition, the MoS2/GF/PTFE exhibited the maximum compressive strength (9.29 MPa) at 250°C, but then the SGB/GF/PTFE composite exhibited the maximum compressive strength (24.28) at room temperature. A comprehensive analysis of the modification mechanism shows that the type, morphology, particle size, strength, and interfacial bonding with the PTFE matrix of the ceramic filler all influence the filling effect of the composite.","PeriodicalId":506108,"journal":{"name":"Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering","volume":"65 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140481709","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

Cut surface characteristics of aluminum alloy sheet in cryogenic shearing process 铝合金板材在低温剪切过程中的切面特性

Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering Pub Date : 2024-01-17 DOI: 10.1177/09544089231221529

Saowalak Kongiang, Siriporn Rojananan, S. Thipprakmas

{"title":"Cut surface characteristics of aluminum alloy sheet in cryogenic shearing process","authors":"Saowalak Kongiang, Siriporn Rojananan, S. Thipprakmas","doi":"10.1177/09544089231221529","DOIUrl":"https://doi.org/10.1177/09544089231221529","url":null,"abstract":"Die cutting is a well-known process of sheet metal forming for separating sheet metal into the required shape. Compared with other cutting processes such as machining, this process has the advantages of a high production rate and low production cost. Currently, as a necessary process in sheet metal manufacturing, this process has been researched to improve the efficiency of the process and quality of cut components. In this study, the application of cryogenics in the die-cutting process was investigated, and the characteristics of the cut surfaces were examined. The shearing process was investigated using a die-cutting model. An aluminum alloy grade A5083 (JIS standard) was used as the workpiece. After shearing, the physical characteristics of the cut surfaces were examined using a 3-D laser scanner. Shear forces were also reported. The grain evolution in the shearing zone was also investigated. The results revealed that compared with the shearing process at room temperature, the ratio of clean cut to workpiece thickness was slightly increased. However, they showed differences in fracture characteristics. A concave feature in the fracture zone was generated at the cryogenic temperature, particularly for small clearances. These results were clearly explained based on the initial fracture angle and its propagation, and grain evolution. Based on the changes in the material properties at cryogenic temperatures, an elongated grain structure was easily generated, resulting in a larger initial fracture compared with that of the shearing process at room temperature. This is important when using the cut component, as the strength of the cut part decreases owing to the larger concave features. In addition, it provides helpful information on cut components that may require additional operations.","PeriodicalId":506108,"journal":{"name":"Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering","volume":"55 25","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139527830","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

Exploring the potential of artificial intelligence tools in enhancing the performance of an inline pipe turbine 探索人工智能工具在提高管道涡轮机性能方面的潜力

Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering Pub Date : 2024-01-10 DOI: 10.1177/09544089231224324

Kutay Celebioglu, Ece Aylı, Huseyin Cetinturk, Y. Taşcıoğlu, S. Aradag

{"title":"Exploring the potential of artificial intelligence tools in enhancing the performance of an inline pipe turbine","authors":"Kutay Celebioglu, Ece Aylı, Huseyin Cetinturk, Y. Taşcıoğlu, S. Aradag","doi":"10.1177/09544089231224324","DOIUrl":"https://doi.org/10.1177/09544089231224324","url":null,"abstract":"In this study, investigations were conducted using computational fluid dynamics (CFD) to assess the applicability of a Francis-type water turbine within a pipe. The objective of the study is to determine the feasibility of implementing a turbine within a pipe and enhance its performance values within the operating range. The turbine within the pipe occupies significantly less space in hydroelectric power plants since a spiral casing is not used to distribute the flow to stationary vanes. Consequently, production and assembly costs can be reduced. Hence, there is a broad scope for application, particularly in small and medium-scale hydroelectric power plants. According to the results, the efficiency value increases on average by approximately 1.5% compared to conventional design, and it operates with higher efficiencies over a wider flow rate range. In the second part of the study, machine learning was employed for the efficiency prediction of an inline-type turbine. An appropriate Artificial Neural Network (ANN) architecture was initially obtained, with the Bayesian Regularization training algorithm proving to be the best approach for this type of problem. When the suitable ANN architecture was utilized, the prediction was found to be in good agreement with CFD, with an root mean squared error value of 0.194. An R2 value of 0.99631 was achieved with the appropriate ANN architecture.","PeriodicalId":506108,"journal":{"name":"Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering","volume":"66 20","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139534862","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

Effect of process parameters on mechanical properties of PLA resin through LCD 3D printing 液晶三维打印工艺参数对聚乳酸树脂机械性能的影响

Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering Pub Date : 2024-01-10 DOI: 10.1177/09544089231225147

A. Riyaz Ahmed, V. Mugendiran

引用次数: 0