Pub Date : 2023-11-24DOI: 10.1007/s40684-023-00579-4
Emine Şap, Üsame Ali Usca, Serhat Şap
During machining, Inconel-800 superalloy is a difficult material to cut. These obstacles increase the temperature in the cutting zone, resulting in damage to both the workpiece and the cutting tool. Studies on milling Inconel-800 superalloys are limited in the literature. The processability of these superalloys under different sustainable cooling conditions is important. This research investigates the effects of minimum quantity lubrication (MQL) and cryogenic cooling techniques on Inconel-800 nickel alloys milling. The evaluations of surface roughness, tool wear, cutting temperature, chip morphology, and power consumption were carried out. It was established that the MQL environment reduces tool wear. It was discovered that the cryogenic environment is superior in terms of surface roughness, the temperature of the cutting, and the amount of power that is required. As the transition from the dry environment to the cryogenic environment, the size of the chips obtained gradually decreases. The Taguchi technique was used to find the most influential elements on the response parameters, and the study was carried out with minimal error rates.
{"title":"Impacts of Environmentally Friendly Milling of Inconel-800 Superalloy on Machinability Parameters and Energy Consumption","authors":"Emine Şap, Üsame Ali Usca, Serhat Şap","doi":"10.1007/s40684-023-00579-4","DOIUrl":"https://doi.org/10.1007/s40684-023-00579-4","url":null,"abstract":"<p>During machining, Inconel-800 superalloy is a difficult material to cut. These obstacles increase the temperature in the cutting zone, resulting in damage to both the workpiece and the cutting tool. Studies on milling Inconel-800 superalloys are limited in the literature. The processability of these superalloys under different sustainable cooling conditions is important. This research investigates the effects of minimum quantity lubrication (MQL) and cryogenic cooling techniques on Inconel-800 nickel alloys milling. The evaluations of surface roughness, tool wear, cutting temperature, chip morphology, and power consumption were carried out. It was established that the MQL environment reduces tool wear. It was discovered that the cryogenic environment is superior in terms of surface roughness, the temperature of the cutting, and the amount of power that is required. As the transition from the dry environment to the cryogenic environment, the size of the chips obtained gradually decreases. The Taguchi technique was used to find the most influential elements on the response parameters, and the study was carried out with minimal error rates.</p>","PeriodicalId":14238,"journal":{"name":"International Journal of Precision Engineering and Manufacturing-Green Technology","volume":"61 1-2","pages":""},"PeriodicalIF":4.2,"publicationDate":"2023-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138512453","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 : 2023-11-19DOI: 10.1007/s40684-023-00581-w
Jung-Wook Wee, Alexander Chudnovsky, Byoung-Ho Choi
Polypropylene (PP) blended with rubber particles has been recognized for significantly increasing impact resistance, which is increasingly demanded in industries such as electric vehicles and consumer electronics. However, a comprehensive understanding of the toughening mechanisms underlying these lightweight impact-resistant materials is imperative for future research. This article provides a detailed review of the ductile-to-brittle (DB) transition behavior and the improvements in impact resistance observed in rubber-toughened PP blends. Firstly, the fracture behavior of homogeneous PP is summarized across different strain rates and temperatures, including the DB transition and yielding and crazing criteria. Furthermore, the influence of notches and defects on the DB transition is discussed extensively. Subsequently, the article examines the theoretical and practical aspects of the toughening mechanisms facilitated by the rubber phase in PP-rubber blends. The percolation model is used to investigate the inter-distance criterion between neighboring rubber particles and the impact of particle size and content on toughening behavior. The primary objective of this article is to enhance the understanding of the toughening behavior exhibited by PP and rubber blends. Additionally, this study aims to provide valuable insights for developing advanced lightweight materials using PP-based blends for various industrial applications.
{"title":"Brittle–Ductile Transitions of Rubber Toughened Polypropylene Blends: A Review","authors":"Jung-Wook Wee, Alexander Chudnovsky, Byoung-Ho Choi","doi":"10.1007/s40684-023-00581-w","DOIUrl":"https://doi.org/10.1007/s40684-023-00581-w","url":null,"abstract":"<p>Polypropylene (PP) blended with rubber particles has been recognized for significantly increasing impact resistance, which is increasingly demanded in industries such as electric vehicles and consumer electronics. However, a comprehensive understanding of the toughening mechanisms underlying these lightweight impact-resistant materials is imperative for future research. This article provides a detailed review of the ductile-to-brittle (DB) transition behavior and the improvements in impact resistance observed in rubber-toughened PP blends. Firstly, the fracture behavior of homogeneous PP is summarized across different strain rates and temperatures, including the DB transition and yielding and crazing criteria. Furthermore, the influence of notches and defects on the DB transition is discussed extensively. Subsequently, the article examines the theoretical and practical aspects of the toughening mechanisms facilitated by the rubber phase in PP-rubber blends. The percolation model is used to investigate the inter-distance criterion between neighboring rubber particles and the impact of particle size and content on toughening behavior. The primary objective of this article is to enhance the understanding of the toughening behavior exhibited by PP and rubber blends. Additionally, this study aims to provide valuable insights for developing advanced lightweight materials using PP-based blends for various industrial applications.</p>","PeriodicalId":14238,"journal":{"name":"International Journal of Precision Engineering and Manufacturing-Green Technology","volume":"60 11-12","pages":""},"PeriodicalIF":4.2,"publicationDate":"2023-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138512454","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 : 2023-10-31DOI: 10.1007/s40684-023-00570-z
Bong Su Kang, Sunghak Choi, Shogo Taguchi, Keishi Suga, Hiroshi Umakoshi, Keesung Kim, Moonkyu Kwak, Ho-Sup Jung
{"title":"Precision Transition of Bicelle to Liposome as Carriers of a Hydrophilic Biologically Active Compound by Microfluidic Mixing Integrated Micro-structure","authors":"Bong Su Kang, Sunghak Choi, Shogo Taguchi, Keishi Suga, Hiroshi Umakoshi, Keesung Kim, Moonkyu Kwak, Ho-Sup Jung","doi":"10.1007/s40684-023-00570-z","DOIUrl":"https://doi.org/10.1007/s40684-023-00570-z","url":null,"abstract":"","PeriodicalId":14238,"journal":{"name":"International Journal of Precision Engineering and Manufacturing-Green Technology","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135870504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 : 2023-10-27DOI: 10.1007/s40684-023-00532-5
Xinlei Yang, Fan Yang, Muhammad Afzal, Wanli Sun, Jung-Sik Kim
{"title":"Proton Conduction and Electrochemical Performance of La/Pr co-Doped Ceria Electrolyte in Ceramic Fuel Cell","authors":"Xinlei Yang, Fan Yang, Muhammad Afzal, Wanli Sun, Jung-Sik Kim","doi":"10.1007/s40684-023-00532-5","DOIUrl":"https://doi.org/10.1007/s40684-023-00532-5","url":null,"abstract":"","PeriodicalId":14238,"journal":{"name":"International Journal of Precision Engineering and Manufacturing-Green Technology","volume":"35 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136261979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 : 2023-10-25DOI: 10.1007/s40684-023-00569-6
Mohammadmahdi Davoudi, Chi-Yoon An, Dae-Eun Kim
{"title":"A Review on Triboelectric Nanogenerators, Recent Applications, and Challenges","authors":"Mohammadmahdi Davoudi, Chi-Yoon An, Dae-Eun Kim","doi":"10.1007/s40684-023-00569-6","DOIUrl":"https://doi.org/10.1007/s40684-023-00569-6","url":null,"abstract":"","PeriodicalId":14238,"journal":{"name":"International Journal of Precision Engineering and Manufacturing-Green Technology","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134974240","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 : 2023-10-25DOI: 10.1007/s40684-023-00572-x
Chao-Chung Hsu, Chun-Cheng Lin
{"title":"The Optimization of Energy Consumption and CO2 Emission in the Product Hazardous Substances Report Making","authors":"Chao-Chung Hsu, Chun-Cheng Lin","doi":"10.1007/s40684-023-00572-x","DOIUrl":"https://doi.org/10.1007/s40684-023-00572-x","url":null,"abstract":"","PeriodicalId":14238,"journal":{"name":"International Journal of Precision Engineering and Manufacturing-Green Technology","volume":"78 3-4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135217434","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 : 2023-10-11DOI: 10.1007/s40684-023-00571-y
Jaekyung Kim, Youngshin Kim, Euysik Jeon
{"title":"Analysis of Fabrication Process on Direct Edge Sealing with Microwave for Vacuum Glazing","authors":"Jaekyung Kim, Youngshin Kim, Euysik Jeon","doi":"10.1007/s40684-023-00571-y","DOIUrl":"https://doi.org/10.1007/s40684-023-00571-y","url":null,"abstract":"","PeriodicalId":14238,"journal":{"name":"International Journal of Precision Engineering and Manufacturing-Green Technology","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136098428","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Radio Modulation Classification is implemented by using the Deep Learning Techniques. The raw radio signals where as inputs and can automatically learn radio features and classification accuracy. The LSTM (Long short-term memory) based classifiers and CNN (Convolutional Neural Network) based classifiers were proposed in this paper. In the proposed work, two CNN based classifiers are implemented such as the LeNet classifier and the ResNet classifier. For visualizing the radio modulation, a class activation vector (w) is used. Finally in the proposed work, it is performed the classification by using the Deep learning models like CNN and LSTM based modulation classifiers. These deep learning models extract the important radio features that are used for classification. Here, the bench mark dataset RadioML2016.10a is used. This is an open dataset which contains the modulated signal I and Q values fewer than ten modulation categories. After evolution of proposed model with bench mark dataset, it is applied with real time data collected through the SDR Dongle receiver. From the obtained real time signal, the modulation categories have been classified and visualized the radio features extracted from the radio modulation classifiers.
{"title":"Deep Learning based Real Time Radio Signal Modulation Classification and Visualization","authors":"S. Rajesh, S. Geetha, Babu Sudarson S, Ramesh S","doi":"10.5815/ijem.2023.05.04","DOIUrl":"https://doi.org/10.5815/ijem.2023.05.04","url":null,"abstract":"Radio Modulation Classification is implemented by using the Deep Learning Techniques. The raw radio signals where as inputs and can automatically learn radio features and classification accuracy. The LSTM (Long short-term memory) based classifiers and CNN (Convolutional Neural Network) based classifiers were proposed in this paper. In the proposed work, two CNN based classifiers are implemented such as the LeNet classifier and the ResNet classifier. For visualizing the radio modulation, a class activation vector (w) is used. Finally in the proposed work, it is performed the classification by using the Deep learning models like CNN and LSTM based modulation classifiers. These deep learning models extract the important radio features that are used for classification. Here, the bench mark dataset RadioML2016.10a is used. This is an open dataset which contains the modulated signal I and Q values fewer than ten modulation categories. After evolution of proposed model with bench mark dataset, it is applied with real time data collected through the SDR Dongle receiver. From the obtained real time signal, the modulation categories have been classified and visualized the radio features extracted from the radio modulation classifiers.","PeriodicalId":14238,"journal":{"name":"International Journal of Precision Engineering and Manufacturing-Green Technology","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135253026","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
扫码关注我们
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号