Academic literature on the topic 'Ultrasonic machining process'
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Journal articles on the topic "Ultrasonic machining process"
Xiao, Qiang. "Research on the Machining Principle and Experinment of Ultrasonic Machining." Applied Mechanics and Materials 373-375 (August 2013): 1983–86. http://dx.doi.org/10.4028/www.scientific.net/amm.373-375.1983.
Full textYu, Jian Wu, Lucjan Dabrowski, Shao Hui Yin, and Zbigniew Lechniak. "Productivity of EDM Process Assisted by Ultrasonic Waves." Solid State Phenomena 175 (June 2011): 157–60. http://dx.doi.org/10.4028/www.scientific.net/ssp.175.157.
Full textKimme, Simon, Nessma Hafez, Christian Titsch, Jonas Maximilian Werner, Andreas Nestler, and Welf-Guntram Drossel. "Close-to-process strain measurement in ultrasonic vibration-assisted turning." Journal of Sensors and Sensor Systems 8, no. 2 (September 24, 2019): 285–92. http://dx.doi.org/10.5194/jsss-8-285-2019.
Full textYe, Hong-xian, Xu-yi Yang, Xiao-ping Hu, Bao-hua Yu, and Xi Kang. "Research on correlation model between transducer temperature and acoustic performance parameters of ultrasonic machining system." AIP Advances 12, no. 11 (November 1, 2022): 115303. http://dx.doi.org/10.1063/5.0124897.
Full textWang, Z. Y., and K. P. Rajurkar. "Dynamic Analysis of the Ultrasonic Machining Process." Journal of Manufacturing Science and Engineering 118, no. 3 (August 1, 1996): 376–81. http://dx.doi.org/10.1115/1.2831039.
Full textTeimouri, R., H. Baseri, and Rasoul Moharami. "Multi-responses optimization of ultrasonic machining process." Journal of Intelligent Manufacturing 26, no. 4 (August 29, 2013): 745–53. http://dx.doi.org/10.1007/s10845-013-0831-1.
Full textIsobe, Hiromi, Yusuke Uehara, Keisuke Hara, Takashi Onuma, and Arata Mihara. "Experimental Verification of Machining Process of Ultrasonic Drilling." Key Engineering Materials 516 (June 2012): 275–80. http://dx.doi.org/10.4028/www.scientific.net/kem.516.275.
Full textZeng, Wei Min, Xi Peng Xu, and Zhi Jian Pei. "Rotary Ultrasonic Machining of Advanced Ceramics." Materials Science Forum 532-533 (December 2006): 361–64. http://dx.doi.org/10.4028/www.scientific.net/msf.532-533.361.
Full textWANG, Jingsi, Keita SHIMADA, Masayoshi MIZUTANI, and Tsunemoto KURIYAGAWA. "B014 Influence of Process Parameters on Ultrasonic Machining using Smoothed Particle Hydrodynamics." Proceedings of International Conference on Leading Edge Manufacturing in 21st century : LEM21 2013.7 (2013): 214–19. http://dx.doi.org/10.1299/jsmelem.2013.7.214.
Full textPraneetpongrung, Chaiya, Yasushi Fukuzawa, and Shigeru Nagasawa. "Effects of Combined Ultrasonic Vibration during the Sinking EDM Process for Cemented Carbide." Advanced Materials Research 76-78 (June 2009): 657–63. http://dx.doi.org/10.4028/www.scientific.net/amr.76-78.657.
Full textDissertations / Theses on the topic "Ultrasonic machining process"
Chang, Hsueh Yu, and 張學宇. "Monitoring of Ultrasonic Machining Process by Time-Frequency Analysis." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/54401803882195265563.
Full text國立臺灣科技大學
機械工程系
104
Ultrasonic machining is one of the most common methods in brittle materials. The quality of workpiece is usually influenced by processing parameters, such as abrasive particle and tool amplitude. In the past, most of the literature focused on optimization of processing parameters to improve the surface quality and few people studied in the connection between signals and workpiece quality. Besides, there is no way to monitor the ultrasonic process. In general, we can’t understand the workpiece quality and calibrate the machine before the end of machining. This study will use the dynamometer to capture force signal during machining, and the Empirical Mode Decomposition is applied to analyze the vibration mode, including cavitation effect, impact and hammer effect. After capturing the characteristics of the vibration mode, such as Marginal Spectrum, power, and mean frequency, we establish a measurement mechanism which can distinguish the stability of machine and workpiece quality by force signal. This measure mechanism can be also applied to monitor the ultrasonic machining process. Furthermore, the tool and horn are self-designed. In order to enhance the design accuracy, we not only used modal analysis and harmonic response analysis in ANSYS but ensure the result is as same as the measurement when the horn is without loading.
Wang, Hsueh-Ming Steve. "Analysis of the effect of process parameters on material removal rate in ultrasonic machining /." Diss., 1998. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:9914251.
Full textAl-okaily, Ala'a M. "Adaptive cutting force control for process stability of micro ultrasonic machining." 2010. http://digitalcommons.unl.edu/imsediss/5.
Full textTitle from title screen (site viewed July 22, 2010). PDF text: xi, 79 p. : ill. (some col.) Publication: Industrial and Management Systems Engineering -- Dissertations and Student Research. Includes bibliographical references.
Cheng, Fu-Yao, and 鄭富堯. "Process Parameters Analysis for Ultrasonic Vibration Assisted Machining on Tempered Glass Material." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/59199182782783599353.
Full text國立聯合大學
機械工程學系碩士班
101
In recent years, smart phones become popular modern communication tools, taking into account the quality of the product and function, the manufacturer must be thinner mobile phone panels. For strength and life cycle of the demand, deeper glass reinforcing layer, increases the difficulty of processing technology. High speed CNC machine tools for processing tempered glass panel, with the testing standards improved, has been unable to achieve both quality and efficiency. This study investigates the optimal parameters of drilling process for tempered glass material by ultrasonic vibration assisted CNC machining. Using Taguchi methods, the optimal parameters for reducing burrs and machining time can be obtained based on drilling burrs less than 0.10 mm and machining time less than 50 second for initial machining. The control factors include: (A) the particle size of tool, (B) spiral feed rate, (C) tool angle of spiral operation, and (D) vibration amplitude. Three levels of each control factor establish the L9(34) orthogonal array. The influence and contribution of each contol factor are observed by the analysis of signal-to-noise ratios (S/N) and analysis of variance (ANOVA). The results demonstrate the optimal combination of process parameters is (A3B1C1D3). The control factors affect the processing quality in order are A, C, B and D.
Chu, Kung-To, and 朱恭德. "Grey relational analysis to optimize the ultrasonic machining process with multiple performance characteristics." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/79398113264855313675.
Full text逢甲大學
機械工程學所
95
Ceramics is regarded as the most hardness, and it also be regarded as the important material in the industry. The methods of ceramics artifact are Grinding, Polishing, Barrel, Finishing, Ultrasonic Machining and Cutting. Especially the Ultrasonic Machining is the chief quality to control the ceramics products. The way of Ultrasonic Machining is mixing Diamond Polishing and Ultrasonic join the Data Encryption for the accurate quality. Therefore, the way of ceramics artifact analysis is using ceramics Ultrasonic Machining. Feed rate, spine speed, cutting deeps, cutting width are experiment factorial of the report. Every experiment factorial has three levels at the same time. Also, it uses Taguchi Orthogonal Array for experiment, then gets result of Surface Toughness, Cutter Wears, and use Grey Relational Theory to analyze ceramics multiple performance characteristics to test and verify in the last period. Grey Relational Theory is mixing Grey Relational Analyze Theory and Taguchi Method. It can reduce the experiment times and cost. It’s the best collection to analyze the multiple performance characteristics.
Books on the topic "Ultrasonic machining process"
Fuling, Zhao, ed. Mian xiang kuai su zhi zao de te zhong jia gong ji shu: Non-traditional machining technology oriented rapid manufacturing. Beijing Shi: Guo fang gong ye chu ban she, 2009.
Find full textIntelligent Energy Field Manufacturing: Interdisciplinary Process Innovations. CRC, 2010.
Find full textZhang, Wenwu. Intelligent Energy Field Manufacturing: Interdisciplinary Process Innovations. Taylor & Francis Group, 2018.
Find full textZhang, Wenwu. Intelligent Energy Field Manufacturing: Interdisciplinary Process Innovations. Taylor & Francis Group, 2018.
Find full textZhang, Wenwu. Intelligent Energy Field Manufacturing: Interdisciplinary Process Innovations. Taylor & Francis Group, 2018.
Find full textZhang, Wenwu. Intelligent Energy Field Manufacturing: Interdisciplinary Process Innovations. Taylor & Francis Group, 2018.
Find full textBook chapters on the topic "Ultrasonic machining process"
Cong, Weilong, and Zhijian Pei. "Process of Ultrasonic Machining." In Handbook of Manufacturing Engineering and Technology, 1629–50. London: Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-4670-4_76.
Full textSingh, Rupinder, and Sudhir Kumar. "Modified Ultrasonic Machining Process." In Non-Conventional Hybrid Machining Processes, 53–77. First edfition. | Boca Raton : CRC Press, 2020. |: CRC Press, 2020. http://dx.doi.org/10.1201/9780429029165-4.
Full textCong, Weilong, and Zhijian Pei. "Process of Ultrasonic Machining." In Handbook of Manufacturing Engineering and Technology, 1–19. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4976-7_76-1.
Full textDas, S., B. Doloi, and B. Bhattacharyya. "Recent Advancement on Ultrasonic Micro Machining (USMM) Process." In Materials Forming, Machining and Tribology, 61–91. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-52009-4_2.
Full textBhowmik, Sumit, Jagadish, and Kapil Gupta. "Modeling and Optimization of Ultrasonic Machining Process." In Modeling and Optimization of Advanced Manufacturing Processes, 45–57. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00036-3_4.
Full textDandge, Shruti, and Shankar Chakraborty. "Selection of Machining Parameters in Ultrasonic Machining Process Using CART Algorithm." In Advanced Engineering Optimization Through Intelligent Techniques, 599–607. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-8196-6_52.
Full textBanerjee, B., S. Doloi, S. Das, and D. Dhupal. "Parametric Optimization of MRR During Ultrasonic Machining Process." In Lecture Notes in Mechanical Engineering, 257–70. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-7150-1_21.
Full textSrivastava, Shubham, Pravendra Kumar, and S. K. S. Yadav. "Development and Experimental Study of Ultrasonic Assisted Electrical Discharge Machining Process." In Lecture Notes on Multidisciplinary Industrial Engineering, 89–99. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9471-4_8.
Full textMirad, Mehdi Mehtab, Jiomani Talukdar, and Bipul Das. "Analysis of Tool Defect in Ultrasonic Machining Process Through Numerical Modelling." In Lecture Notes in Mechanical Engineering, 449–58. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-3266-3_35.
Full textSingh, Anand Mohan, Ranjan Majhi, and Promod Kumar Patowari. "Machinability Study for Slot Cutting on Glass Using Ultrasonic Machining Process." In Lecture Notes in Mechanical Engineering, 771–78. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-7711-6_76.
Full textConference papers on the topic "Ultrasonic machining process"
Wang, Hsueh-Ming S., Louis Plebani, and G. Sathyanarayanan. "Ultrasonic Machining: 1907 to Present." In ASME 1997 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/imece1997-1149.
Full textSingh, Jaspreet, Chandandeep Singh, Kanwaljit Singh, Rupesh Gupta, and Rakesh Goyal. "Analysis of Various Machining Parameters for Computer Controlled Ultrasonic and Rotary Machining Process." In 2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N). IEEE, 2021. http://dx.doi.org/10.1109/icac3n53548.2021.9725743.
Full textLiu, Meng-Kun, Hsueh-Yu Chang, and Han Kuo. "Monitoring of ultrasonic machining process by time-frequency analysis." In 2017 IEEE/SICE International Symposium on System Integration (SII). IEEE, 2017. http://dx.doi.org/10.1109/sii.2017.8279216.
Full textWang, Hui, Dongzhe Zhang, Yunze Li, Weilong Cong, and Anthony R. Burks. "Delamination in Surface Machining of CFRP Composites Using Rotary Ultrasonic Machining With Horizontal Ultrasonic Vibration." In ASME 2020 15th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/msec2020-8246.
Full textYu, Z., X. Hu, and K. P. Rajurkar. "Study of Micro Ultrasonic Machining of Silicon." In ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-79244.
Full textZeng, W. M., Z. C. Li, N. J. Churi, Z. J. Pei, and C. Treadwell. "Experimental Investigation Into Rotary Ultrasonic Machining of Alumina." In ASME 2004 International Mechanical Engineering Congress and Exposition. ASMEDC, 2004. http://dx.doi.org/10.1115/imece2004-61700.
Full textWang, Hui, Fuda Ning, Yingbin Hu, Yuanchen Li, Xinlin Wang, and Weilong Cong. "Edge Trimming of CFRP Composites Using Rotary Ultrasonic Machining: Effects of Ultrasonic Vibration." In ASME 2018 13th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/msec2018-6362.
Full textFernando, Palamandadige K. S. C., Zhijian Pei, Meng (Peter) Zhang, and Xiaoxu Song. "Rotary Ultrasonic Drilling of CFRP: Effect of Process Parameters on Delamination." In ASME 2016 11th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/msec2016-8611.
Full textSonate, Abhishek, Dheeraj Vepuri, and Sagil James. "Study of Micro Ultrasonic Machining of CFRP/Ti Stacks." In ASME 2017 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/imece2017-72317.
Full textDai, Yutang, Bin Liu, Guanglin Yin, Tao Li, and Joseph M. Karanja. "Research on ultrasonic vibration aided femtosecond laser machining process of transparent materials." In International Symposium on Photonics and Optics, edited by Zhiping Zhou. SPIE, 2015. http://dx.doi.org/10.1117/12.2196950.
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