Pub Date : 2024-07-30DOI: 10.1007/s40430-024-05096-2
Shihao Liu, Ganxing Chen, Mao Lin, Jingru Li, Jiayi Qin
In order to improve the static and dynamic performance of the crossbeam of five-axis machining centers, a bionic optimization design method based on honeycomb sandwich structures was proposed. The finite element model of a crossbeam was established, and the static and dynamic performance indexes were analyzed. In order to obtain the honeycomb sandwich bionic structure crossbeam, the crossbeam sizes with high static and dynamic performance correlations were obtained using the sensitivity analysis method, and the bionic design for the original crossbeam was carried out based on honeycomb sandwich structures. To select the honeycomb sandwich bionic structure crossbeam with excellent performance, the weight of each index of the total performance of the crossbeam was determined using the analytic hierarchy process, and the variation formula of the total performance of the honeycomb sandwich bionic structure crossbeam was constructed. To obtain the excellent size of the honeycomb sandwich bionic structure crossbeam, the response surface optimization was carried out on the honeycomb sandwich structure crossbeam using the central composite test design method. To select the best candidate points of optimization scheme, the formula for the total performance variation of the crossbeam of the optimized honeycomb sandwich bionic structure was constructed using the analytic hierarchy process. The results show that compared with the original crossbeam, the optimized bionic crossbeam has a small reduction in mass, its maximum total displacement is reduced by 10.16%, its maximum equivalent stress is reduced by 27.61%, its first-order natural frequency is increased by 2.47%, and its second-order natural frequency is increased by 4.85%. The optimization results show that the lightweight of the crossbeam is achieved and its static and dynamic performance is improved, thus proving that the proposed bionic optimization design method based on the honeycomb sandwich structure is reasonable.
{"title":"Bionic optimization design for the crossbeam of a five-axis machining center based on honeycomb sandwich structures","authors":"Shihao Liu, Ganxing Chen, Mao Lin, Jingru Li, Jiayi Qin","doi":"10.1007/s40430-024-05096-2","DOIUrl":"https://doi.org/10.1007/s40430-024-05096-2","url":null,"abstract":"<p>In order to improve the static and dynamic performance of the crossbeam of five-axis machining centers, a bionic optimization design method based on honeycomb sandwich structures was proposed. The finite element model of a crossbeam was established, and the static and dynamic performance indexes were analyzed. In order to obtain the honeycomb sandwich bionic structure crossbeam, the crossbeam sizes with high static and dynamic performance correlations were obtained using the sensitivity analysis method, and the bionic design for the original crossbeam was carried out based on honeycomb sandwich structures. To select the honeycomb sandwich bionic structure crossbeam with excellent performance, the weight of each index of the total performance of the crossbeam was determined using the analytic hierarchy process, and the variation formula of the total performance of the honeycomb sandwich bionic structure crossbeam was constructed. To obtain the excellent size of the honeycomb sandwich bionic structure crossbeam, the response surface optimization was carried out on the honeycomb sandwich structure crossbeam using the central composite test design method. To select the best candidate points of optimization scheme, the formula for the total performance variation of the crossbeam of the optimized honeycomb sandwich bionic structure was constructed using the analytic hierarchy process. The results show that compared with the original crossbeam, the optimized bionic crossbeam has a small reduction in mass, its maximum total displacement is reduced by 10.16%, its maximum equivalent stress is reduced by 27.61%, its first-order natural frequency is increased by 2.47%, and its second-order natural frequency is increased by 4.85%. The optimization results show that the lightweight of the crossbeam is achieved and its static and dynamic performance is improved, thus proving that the proposed bionic optimization design method based on the honeycomb sandwich structure is reasonable.</p>","PeriodicalId":17252,"journal":{"name":"Journal of The Brazilian Society of Mechanical Sciences and Engineering","volume":"47 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141866832","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 : 2024-07-30DOI: 10.1007/s40430-024-05106-3
Yatish Kumar Baghel, Vivek Kumar Patel
One of the most crucial considerations when developing any slurry transportation system is evaluating slurry erosion because it significantly contributes to the system’s many component’s ineffective operation and eventual failure. In the present work, the impact of the thermo-mechanical process (TMP) on the resistance of the slurry erosion wear of the target material has been investigated at a high solid concentration (50–70% fly ash by weight) and different rotational speeds (300–600 rpm) of the specimen. SS431 was used as the target material, and the Gleebles® 3800 simulator was used to perform the TMP on the target material. In the Gleebles® 3800 simulator, four strain rates (0.01, 0.1, 1, and 10 s−1) were used for the deformation at two temperatures (950 °C and 1050 °C). A slurry pot tester evaluated the slurry erosion wear for 15 h at room temperature. TMP specimens exhibit superior resistance to slurry erosion wear compared to as-received SS431 material at all flow parameters. The best resistance to slurry erosion was observed in specimens that had been TMP at 1050 °C with a strain rate of 1 s−1. Correlations had been found between various target material properties (hardness and grain size) as well as flow properties (solid concentration and rotational speed of the specimens) and the slurry erosion wear, all of which contribute to the erosion mechanism.
{"title":"Influence of hardness and grain size of the SS431 material on the slurry erosion wear through the pot tester at higher slurry concentrations","authors":"Yatish Kumar Baghel, Vivek Kumar Patel","doi":"10.1007/s40430-024-05106-3","DOIUrl":"https://doi.org/10.1007/s40430-024-05106-3","url":null,"abstract":"<p>One of the most crucial considerations when developing any slurry transportation system is evaluating slurry erosion because it significantly contributes to the system’s many component’s ineffective operation and eventual failure. In the present work, the impact of the thermo-mechanical process (TMP) on the resistance of the slurry erosion wear of the target material has been investigated at a high solid concentration (50–70% fly ash by weight) and different rotational speeds (300–600 rpm) of the specimen. SS431 was used as the target material, and the Gleebles® 3800 simulator was used to perform the TMP on the target material. In the Gleebles® 3800 simulator, four strain rates (0.01, 0.1, 1, and 10 s<sup>−1</sup>) were used for the deformation at two temperatures (950 °C and 1050 °C). A slurry pot tester evaluated the slurry erosion wear for 15 h at room temperature. TMP specimens exhibit superior resistance to slurry erosion wear compared to as-received SS431 material at all flow parameters. The best resistance to slurry erosion was observed in specimens that had been TMP at 1050 °C with a strain rate of 1 s<sup>−1</sup>. Correlations had been found between various target material properties (hardness and grain size) as well as flow properties (solid concentration and rotational speed of the specimens) and the slurry erosion wear, all of which contribute to the erosion mechanism.</p>","PeriodicalId":17252,"journal":{"name":"Journal of The Brazilian Society of Mechanical Sciences and Engineering","volume":"149 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141866896","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}
The rational design of artificial materials with dynamic performance abilities is necessary due to their applications in different fields. Meta-structures are being explored intensively because of their unusual qualities from natural materials, and these traits include Negative Poisson's ratio, high stiffness, high energy absorption, and negative thermal expansion. Meta-structures can be fabricated using additive manufacturing (AM) and obtained from macro- to meso scale; hence are scale-independent. AM fabricates designed geometry using materials like metals, metal alloys, composites, shape memory alloys, and elastomers. AM is a versatile process that can manufacture meta-structures with different geometries, including chiral, re-entrant, cellular, etc. This work comprehensively reviews the materials necessary to manufacture meta-structures, their alternative geometries, and the impact of configuration changes on their mechanical properties. Subsequently, the applications in many disciplines, such as vibration mitigation, noise cancellation, and electromagnetic shielding, as well as their limits and future potential, are also examined.