International Journal of Precision Engineering and Manufacturing-Green Technology最新文献_第8页

Impacts of Environmentally Friendly Milling of Inconel-800 Superalloy on Machinability Parameters and Energy Consumption Inconel-800高温合金环境友好铣削对切削性能参数和能耗的影响

IF 4.2 3区工程技术

International Journal of Precision Engineering and Manufacturing-Green Technology Pub Date : 2023-11-24 DOI: 10.1007/s40684-023-00579-4

Emine Şap, Üsame Ali Usca, Serhat Şap

{"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}

引用次数: 0

Brittle–Ductile Transitions of Rubber Toughened Polypropylene Blends: A Review 橡胶增韧聚丙烯共混物的脆性-韧性转变研究进展

IF 4.2 3区工程技术

International Journal of Precision Engineering and Manufacturing-Green Technology Pub Date : 2023-11-19 DOI: 10.1007/s40684-023-00581-w

Jung-Wook Wee, Alexander Chudnovsky, Byoung-Ho Choi

{"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}

引用次数: 0

Precision Transition of Bicelle to Liposome as Carriers of a Hydrophilic Biologically Active Compound by Microfluidic Mixing Integrated Micro-structure 微流控混合集成微结构技术实现亲水生物活性化合物载体双胞向脂质体的精确转化

3区工程技术

International Journal of Precision Engineering and Manufacturing-Green Technology Pub Date : 2023-10-31 DOI: 10.1007/s40684-023-00570-z

Bong Su Kang, Sunghak Choi, Shogo Taguchi, Keishi Suga, Hiroshi Umakoshi, Keesung Kim, Moonkyu Kwak, Ho-Sup Jung

引用次数: 0

Proton Conduction and Electrochemical Performance of La/Pr co-Doped Ceria Electrolyte in Ceramic Fuel Cell La/Pr共掺铈电解质在陶瓷燃料电池中的质子传导及电化学性能

3区工程技术

International Journal of Precision Engineering and Manufacturing-Green Technology Pub Date : 2023-10-27 DOI: 10.1007/s40684-023-00532-5

Xinlei Yang, Fan Yang, Muhammad Afzal, Wanli Sun, Jung-Sik Kim

引用次数: 0

A Review on Triboelectric Nanogenerators, Recent Applications, and Challenges 纳米摩擦发电机的研究进展、最新应用和挑战

3区工程技术

International Journal of Precision Engineering and Manufacturing-Green Technology Pub Date : 2023-10-25 DOI: 10.1007/s40684-023-00569-6

Mohammadmahdi Davoudi, Chi-Yoon An, Dae-Eun Kim

引用次数: 0

The Optimization of Energy Consumption and CO2 Emission in the Product Hazardous Substances Report Making 产品有害物质报告制作中能耗和CO2排放的优化

3区工程技术

International Journal of Precision Engineering and Manufacturing-Green Technology Pub Date : 2023-10-25 DOI: 10.1007/s40684-023-00572-x

Chao-Chung Hsu, Chun-Cheng Lin

引用次数: 0

Pyrolytic Jetting of Highly Porous Laser-Induced Graphene Fiber for Cost-Effective Supercapacitor 高孔激光诱导石墨烯纤维热解喷射制备高性价比超级电容器

3区工程技术

International Journal of Precision Engineering and Manufacturing-Green Technology Pub Date : 2023-10-13 DOI: 10.1007/s40684-023-00566-9

Dongwoo Kim, Hyunkoo Lee, Eunseung Hwang, Sukjoon Hong, Habeom Lee

引用次数: 0

Analysis of Fabrication Process on Direct Edge Sealing with Microwave for Vacuum Glazing 真空上釉微波直接封边工艺分析

3区工程技术

International Journal of Precision Engineering and Manufacturing-Green Technology Pub Date : 2023-10-11 DOI: 10.1007/s40684-023-00571-y

Jaekyung Kim, Youngshin Kim, Euysik Jeon

引用次数: 0

Effect of Grinding Parameters on Industrial Robot Grinding of CFRP and Defect Formation Mechanism 磨削参数对工业机器人CFRP磨削的影响及缺陷形成机理

3区工程技术

International Journal of Precision Engineering and Manufacturing-Green Technology Pub Date : 2023-10-09 DOI: 10.1007/s40684-023-00561-0

Fangyuan Wang, Shanyong Xuan, Zongyu Chang, Kai Jin, Yulong Gao, Hao Wang, Qiye Song

引用次数: 0

Deep Learning based Real Time Radio Signal Modulation Classification and Visualization 基于深度学习的实时无线电信号调制分类与可视化

3区工程技术

International Journal of Precision Engineering and Manufacturing-Green Technology Pub Date : 2023-10-08 DOI: 10.5815/ijem.2023.05.04

S. Rajesh, S. Geetha, Babu Sudarson S, Ramesh S

{"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}

引用次数: 0