ATSMDE 2017: Materials Engineering最新文献

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Tool Condition Monitoring Using Vibration Signals During Hard Turning: A Review 基于振动信号的硬车削刀具状态监测综述
ATSMDE 2017: Materials Engineering Pub Date : 2017-12-21 DOI: 10.2139/ssrn.3101977
Govind S. Ghule, N. Ambhore, S. Chinchanikar
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引用次数: 1
Low Temperature Solution-Based Treatment for Highly Passivated Si/TiO2 Heterojunction 高钝化Si/TiO2异质结的低温溶液处理
ATSMDE 2017: Materials Engineering Pub Date : 2017-12-21 DOI: 10.2139/ssrn.3101591
G. Sahasrabudhe
{"title":"Low Temperature Solution-Based Treatment for Highly Passivated Si/TiO2 Heterojunction","authors":"G. Sahasrabudhe","doi":"10.2139/ssrn.3101591","DOIUrl":"https://doi.org/10.2139/ssrn.3101591","url":null,"abstract":"Thin film-based second and third generation photovoltaics (PVs) are avidly investigated for their potential for utility scale applications. Organic thin film (PEDOT) and silicon-based PVs are shown to have moderate device efficiency. To further improve efficiency, silicon is sandwiched between thin films of PEDOT and TiO<sub>2</sub>. Thin films of TiO<sub>2</sub> synthesized at 100°C have been shown to make efficient (~12%) PEDOT/Si/TiO<sub>2</sub>-based PVs; TiO<sub>2</sub> functions as a holeblocker. Lower efficiencies of the PVs than predicted by theory is attributed to poor passivation of the Si/TiO<sub>2</sub> interface. To improve the interface passivation, the Si/TiO<sub>2</sub> interface is treated under various chemical conditions. One such treatment yielded very high level of passivation (SRV ~ 15 cm/s).","PeriodicalId":202570,"journal":{"name":"ATSMDE 2017: Materials Engineering","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115091410","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
Analysis and Optimization of Wire Electro Discharge Machining Parameters of TiNi Shape Memory Alloy Using Taguchi Technique 田口法TiNi形状记忆合金线放电加工参数分析与优化
ATSMDE 2017: Materials Engineering Pub Date : 2017-12-21 DOI: 10.2139/ssrn.3101586
A. Takale, N. Chougule, R. Patil, A. S. Awate
{"title":"Analysis and Optimization of Wire Electro Discharge Machining Parameters of TiNi Shape Memory Alloy Using Taguchi Technique","authors":"A. Takale, N. Chougule, R. Patil, A. S. Awate","doi":"10.2139/ssrn.3101586","DOIUrl":"https://doi.org/10.2139/ssrn.3101586","url":null,"abstract":"This paper focuses on the investigation of the effect of process parameters on the responses such as material removal rate and surface roughness of Ti<sub>49.4</sub>Ni<sub>50.6</sub> shape memory alloy machined by WEDM using Taguchi technique to obtain optimum machining process parameters. Whenever conventional machining process gets drossy, it becomes inevitable to use nonconventional machining processes like Wire-Electro Discharge Machining (WEDM). Considering the development of mechanical industry, the demands for alloy materials having high hardness and toughness are increasing. Machine tool industry has also made exponential growth in its manufacturing capabilities but still, machine tools are not used to their fullest potential. This limitation is a result of the failure to run machine tools at their optimum operating conditions. A number of experiments were conducted using the L18 orthogonal array on Electronica WEDM. A combined technique using orthogonal array and analysis of variance was used to investigate the contribution and effects of a pulse on time, pulse off time, spark gape set voltage, wire feed and wire tension on the MRR and surface roughness. It is observed that pulse on time is the most significant parameter for MRR and surface roughness with a percentage contribution of 35.69% and 59.02% respectively. Along with this pulse off time was observed to be the next significant parameter for MRR with percentage contribution of 34.47%. Thereafter, optimal machining parameters were obtained by analysis of mean.","PeriodicalId":202570,"journal":{"name":"ATSMDE 2017: Materials Engineering","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133390106","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: 2
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