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Yung-Chih Lin, Kung-Da Wu, Wei-Cheng Shih, Pao-Kai Hsu and Jui-Pin Hung
This study presents surface roughness modeling for machined parts based on cutting parameters (spindle speed, cutting depth, and feed rate) and machining vibration in the end milling process. Prediction models were developed using multiple regression ana...
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Jaber E. Abu Qudeiri, Aiman Zaiout, Abdel-Hamid I. Mourad, Mustufa Haider Abidi and Ahmed Elkaseer
Electric discharge machining (EDM) is one of the most efficient manufacturing technologies used in highly accurate processing of all electrically conductive materials irrespective of their mechanical properties. It is a non-contact thermal energy process...
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Partha Protim Das, Sunny Diyaley, Shankar Chakraborty, Ranjan Kumar Ghadai
Pág. 16 - 25
Wire electro discharge machining (WEDM) is a versatile non-traditional machining process that is extensively in use to machine the components having intricate profiles and shapes. In WEDM, it is very important to select the optimal process parameters so ...
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Carlos Alberto OCHOA,Lourdes Yolanda MARGAIN,Francisco Javier ORNELAS,Sandra Guadalupe JIMÉNEZ,Teresa Guadalupe PADILLA
Pág. 1 - 9
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Xiangying Hou, Shushen Gao, Linyue Qiu, Zhengminqing Li, Rupeng Zhu and Sung-Ki Lyu
Transmission efficiency is a significant index of the transmission system. Even though much research has been carried out to calculate gear transmission efficiency, only a few of them studied spiral bevel gear due to its complexity. Moreover, spiral beve...
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Sunny Diyaley, Pramod Shilal, Ishwer Shivakoti, Ranjan Kumar Ghadai, Kanak Kalita
Pág. 255 - 260
Wire electric discharge machining (WEDM) is a nontraditional machining process for machining conductive materials with complex and intricate shapes with a high surface finish and dimensional accuracy. The decision making for the selection of the best set...
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Mahesh Gopal
Pág. 141 - 150
The aim of this study is to determine the effect of the machining parameters and tool geometry. The turning operation is carried out as per the Design of Experiments (DoE) of Response Surface Methodology (RSM) to predict the temperature rise of aluminium...
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Shih-Ming Wang, Chun-Yi Lee, Hariyanto Gunawan and Chin-Cheng Yeh
This study proposes a hybrid optimization method which can help users to find optimal cutting parameters which will provide better efficiency and lower power consumption for a milling process. Empirical models including performance-power consumption char...
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Chathakudath Sukumaran Sumesh, Ajith Ramesh
Pág. 196 - 202
In this paper, the influence of machining parameters, Cutting Speed, Feed Rate, and Depth of cut, on surface finish during dry orthogonal turning of Al 6061 ? T6 alloy, is studied using the response surface methodology (RSM). This paper proposes a unique...
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S. P. Sundar Singh Sivam, Sathiya Moorthy Karuppaiah, Bhaskar Karthik Yedida, Jai Ram Atluri, Shubhang Mathur
Pág. 118 - 125
This study presents the optimization of Machining parameters on AM60 Mg alloy manufactured by Gravity Die Casting and with responses supported orthogonal array with Grey relation analysis. Focuses on the optimization of Machining input parameters using t...
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Jean Robert Pereira Rodrigues, Rubens Soeiro Gonçalves, Antonio Santos Araújo Junior, João Luis de Meneses Barros, Adilto Pereira Andrade Cunha, Carmen Célia Francisco do Nascimento
Pág. e37228
Experimental evaluations based on statistical and scientific criteria play fundamental role in identification of optimal performance parameters in manufacturing engineering. Based on this premise, the Doehlert?s experimental planning method was applied t...
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Jean Robert Pereira Rodrigues, Rubens Soeiro Gonçalves, Antonio Santos Araújo Junior, João Luis de Meneses Barros, Adilto Pereira Andrade Cunha, Carmen Célia Francisco do Nascimento (Author)
Pág. e37228
Experimental evaluations based on statistical and scientific criteria play fundamental role in identification of optimal performance parameters in manufacturing engineering. Based on this premise, the Doehlert?s experimental planning method was applied t...
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Reddy Sreenivasulu
Pág. 1212 - 1226
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Cheng-Jian Lin, Chun-Hui Lin and Frank Lin
The spindle of a machine tool plays a key role in machining because the wear of a spindle might result in inaccurate production and decreased productivity. To understand the condition of a machine tool, a vector-based convolutional fuzzy neural network (...
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Vijaykumar S. Jatti, Rahul B. Dhabale, Akshansh Mishra, Nitin K. Khedkar, Vinaykumar S. Jatti and Ashwini V. Jatti
The advancement in technology has attracted researchers to electric discharge machining (EDM) for providing a practical solution for overcoming the limitations of conventional machining. The current study focused on predicting the Material Removal Rate (...
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Zemin Zhao, Xianli Liu, Caixu Yue, Rongyi Li, Hongyan Zhang and Steven Liang
The prediction and control of milling tool service performance is critical for milling tool design and machining. However, the existing prediction model can hardly quantify tool performance, or precisely describe the relationship between the tool perform...
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Victor Shapovalov, Alexandr Permyakov, Alexander Klochko
Pág. 118 - 126
The subject matter of the research in the article is the process of restoring the quality and accuracy of the working surface of the wheelsets of the main electric locomotives, electric sections. The purpose of the work is to develop a modeling method fo...
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István Biró, Miklós Czampa, Tibor Szalay
Pág. 16 - 22
Machining and more specifically face milling are productive ways of material shaping. Predictive models are very important for effective: quick, easy-to-use and accurate process planning. There are many industrial and scientific researches about modellin...
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Haohao Wang, Limin Gao and Baohai Wu
Many probability-based uncertainty quantification (UQ) schemes require a large amount of sampled data to build credible probability density function (PDF) models for uncertain parameters. Unfortunately, the amounts of data collected as to compressor blad...
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Haotao Wang, Haijun Zhang, Ming Zhou, Chengbo Gu, Sutong Bai and Hao Lin
SiCp/Al composites are used in the aerospace, automotive, and electronics fields, among others, due to their excellent physical and mechanical properties. However, as they are hard-to-machine materials, poor surface quality has become a major limitation ...
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