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Journal articles on the topic 'Machine tool. Mechanical wear'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Zhao, Guoyong, Yu Su, Guangming Zheng, Yugang Zhao, and Chunxiao Li. "Tool tip cutting specific energy prediction model and the influence of machining parameters and tool wear in milling." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 234, no. 10 (2020): 1346–54. http://dx.doi.org/10.1177/0954405420911298.

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Most of the existing energy-consumption models of machine tools are related to specific machine components and hence cannot be applied to other machine tools with different specifications. In order to help operators optimize machining parameters for improving energy efficiency, the tool tip cutting specific energy prediction model based on machining parameters and tool wear in milling is developed, which is independent of the standby power of machine tools and the spindle no-load power. Then, the prediction accuracy of the proposed model is verified with dry milling AISI 1045 steel experiments

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2

Ford, DG, A. Myers, F. Haase, S. Lockwood, and A. Longstaff. "Active vibration control for a CNC milling machine." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 228, no. 2 (2013): 230–45. http://dx.doi.org/10.1177/0954406213484224.

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There is a requirement for improved three-dimensional surface characterisation and reduced tool wear when modern computer numerical control (CNC) machine tools are operating at high cutting velocities, spindle speeds and feed rates. For large depths of cut and large material removal rates, there is a tendency for machines to chatter caused by self-excited vibration in the machine tools leading to precision errors, poor surface finish quality, tool wear and possible machine damage. This study illustrates a method for improving machine tool performance by understanding and adaptively controlling

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3

Postnov, V. V., Yu V. Idrisova, and S. I. Fetsak. "Influence of machine-tool dynamics on the tool wear." Russian Engineering Research 35, no. 12 (2015): 936–40. http://dx.doi.org/10.3103/s1068798x15120163.

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4

Ji, Ren Jie, Yong Hong Liu, Chao Zheng, Fei Wang, and Yan Zhen Zhang. "Design of the Tool for End Electrical Discharge Milling and Mechanical Grinding Compound Machining of Engineering Ceramics." Advanced Materials Research 664 (February 2013): 806–10. http://dx.doi.org/10.4028/www.scientific.net/amr.664.806.

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Advanced engineering ceramics have been widely used in modern industry due to their excellent physical and chemical properties. However, they are difficult to machine due to their high hardness and brittleness. End electrical discharge milling and mechanical grinding compound machining method is employed to machine SiC ceramic in this paper. The process is able to effectively machine a large surface area on SiC ceramic. Furthermore, the tool for the compound machining of SiC ceramic is designed based on the goal of the higher material removal rate, the lower tool wear, and the better machined

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5

Cheng, Wen-Nan, Chih-Chun Cheng, Yao-Hsuan Lei, and Ping-Chun Tsai. "Feature selection for predicting tool wear of machine tools." International Journal of Advanced Manufacturing Technology 111, no. 5-6 (2020): 1483–501. http://dx.doi.org/10.1007/s00170-020-06129-5.

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6

Kong, Dongdong, Yongjie Chen, Ning Li, Chaoqun Duan, Lixin Lu, and Dongxing Chen. "Relevance vector machine for tool wear prediction." Mechanical Systems and Signal Processing 127 (July 2019): 573–94. http://dx.doi.org/10.1016/j.ymssp.2019.03.023.

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7

Laddada, Soufiane, Med Ouali Si-Chaib, Tarak Benkedjouh, and Redouane Drai. "Tool wear condition monitoring based on wavelet transform and improved extreme learning machine." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 234, no. 5 (2019): 1057–68. http://dx.doi.org/10.1177/0954406219888544.

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In machining process, tool wear is an inevitable consequence which progresses rapidly leading to a catastrophic failure of the system and accidents. Moreover, machinery failure has become more costly and has undesirable consequences on the availability and the productivity. Consequently, developing a robust approach for monitoring tool wear condition is needed to get accurate product dimensions with high quality surface and reduced stopping time of machines. Prognostics and health management has become one of the most challenging aspects for monitoring the wear condition of cutting tools. This

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8

Khan, Muhammad Ali, Ahmed Farooq Cheema, Sohaib Zia Khan, and Shafiq-ur-Rehman Qureshi. "Image based portable wear debris analysis tool." Industrial Lubrication and Tribology 67, no. 4 (2015): 389–98. http://dx.doi.org/10.1108/ilt-11-2014-0127.

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Purpose – The purpose of this paper is to show the development of an image processing-based portable equipment for an automatic wear debris analysis. It can analyze both the qualitative and quantitative features of machine wear debris: size, quantity, size distribution, shape, surface texture and material composition via color. Design/methodology/approach – It comprises hardware and software components which can take debris in near real-time from a machine oil sump and process it for features diagnosis. This processing provides the information of the basic features on the user screen which can

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9

Xun, Li, Wang Ziming, Yang Shenliang, Guo Zhiyuan, Zhou Yongxin, and Han Kangning. "Influence of turning tool wear on the surface integrity and anti-fatigue behavior of Ti1023." Advances in Mechanical Engineering 13, no. 4 (2021): 168781402110112. http://dx.doi.org/10.1177/16878140211011278.

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Titanium alloy Ti1023 is a typical difficult-to-cut material. Tool wear is easy to occur in machining Ti1023, which has a significant negative effect on surface integrity. Turning is one of the common methods to machine Ti1023 parts and machined surface integrity has a direct influence on the fatigue life of parts. To control surface integrity and improve anti-fatigue behavior of Ti1023 parts, it has an important significance to study the influence of tool wear on the surface integrity and fatigue life of Ti1023 in turning. Therefore, the effect of tool wear on the surface roughness, microhard

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10

Kong, Dongdong, Yongjie Chen, and Ning Li. "Monitoring tool wear using wavelet package decomposition and a novel gravitational search algorithm–least square support vector machine model." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 234, no. 3 (2019): 822–36. http://dx.doi.org/10.1177/0954406219887318.

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Monitoring tool wear has drawn much attention recently since tool failure will make it hard to guarantee the surface integrity of workpieces and the stability of manufacturing process. In this paper, the integrated approach that combines wavelet package decomposition, least square support vector machine, and the gravitational search algorithm is proposed for monitoring the tool wear in turning process. Firstly, the wavelet package decomposition is utilized to decompose the original cutting force signals into multiple sub-bands. Root mean square of the wavelet packet coefficients in each sub-ba

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11

Muthuraja, Ayyankalai, and Selvaraj Senthilvelan. "Performance evaluation of a tungsten carbide–based self-lubricant cutting tool." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 232, no. 10 (2016): 1825–36. http://dx.doi.org/10.1177/0954405416681822.

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Tungsten carbide cutting tools with and without solid lubricant (WC-10Co-5CaF2 and WC-10Co) were developed in-house via powder metallurgy. The developed cutting tools and a commercial WC-10Co cutting tool were used to machine cylindrical AISI 1020 steel material under dry conditions. The cutting force and average cutting tool temperature were continuously measured. The cutting tool flank surface and chip morphology after specific tool life (5 min of cutting) were examined to understand tool wear. The flank wear of the considered cutting tools was also measured to quantify the cutting tool life

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12

Liu, Li Ping, Bin Lin, and Feng Zhou Fang. "Study on a Novel Adaptive Force Control Table Employed for Rotary Ultrasonic Drilling." Applied Mechanics and Materials 80-81 (July 2011): 1027–31. http://dx.doi.org/10.4028/www.scientific.net/amm.80-81.1027.

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A novel adaptive force control table for rotary ultrasonic machine tool was developed for processing micro holes. The adaptive force control table, a mechanical balancing device by which the load can be adaptively adjusted without numerical control was adopted as an attachment in an ultrasonic machine tool. To verify the performance, micro holes were drilled on SiC workpiece. The drilling force, tool wear and profiles of these machined micro holes were investigated. According to the experimental results, it is confirmed that the newly developed table attached on the ultrasonic machine tool is

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13

Kawasaki, Kazumasa, Isamu Tsuji, and Hiroshi Gunbara. "Manufacturing method of double-helical gears using CNC machining center." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 230, no. 7-8 (2015): 1149–56. http://dx.doi.org/10.1177/0954406215602288.

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Double-helical gears are usually manufactured using special type of machine tools, such as gear hobbing and shaping machines. In this paper, a manufacturing method of double-helical gears using a CNC machining center instead of the special type of machine tools is proposed. This manufacturing method has the following advantages: (i) the tooth surfaces can be modified arbitrarily, (ii) all we have to do in gear machining is only one machine setting, (iii) the hole and blank diameter and so on except the tooth surface can be also machined, and (iv) the auxiliary apparatus, special type of tools,

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14

Chuangwen, Xu, Dou Jianming, Chai Yuzhen, Li Huaiyuan, Shi Zhicheng, and Xu Jing. "The relationships between cutting parameters, tool wear, cutting force and vibration." Advances in Mechanical Engineering 10, no. 1 (2018): 168781401775043. http://dx.doi.org/10.1177/1687814017750434.

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To study the influences of processes factors on cutting force and vibration in cutting processes, milling tests were carried out on 022Cr17Ni12Mo2 stainless steel under different process conditions using a coated carbide end mill insert. The cutting force and vibration acceleration signals were recorded, and the wear depth on the flank face of the tool was measured. This study observed tool wear morphology using a scanning electron microscope and investigated distributions of surface elements on the damaged tools by energy spectrum analysis. Based on the revelations of tool wear mechanisms, th

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15

Niaki, Farbod Akhavan, Durul Ulutan, and Laine Mears. "Stochastic tool wear assessment in milling difficult to machine alloys." International Journal of Mechatronics and Manufacturing Systems 8, no. 3/4 (2015): 134. http://dx.doi.org/10.1504/ijmms.2015.073090.

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16

Wang, Jiachun, Huarui Chi, Maoqiang Lv, Xiaoxuan Liu, Yuntao Li, and Yan Zhao. "Effect of silicon carbide hard particles scratch on the diamond cutting tools groove wear." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 234, no. 10 (2020): 2053–63. http://dx.doi.org/10.1177/0954406219900199.

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The flank faces of diamond cutting tools are characterized by the groove wear when the tools are used to machine single crystal silicon workpieces precisely, which significantly affects the quality of the machined surface. Many researchers confirmed the existence of SiC hard particles and inferred that hard particles scratch led to the groove wear on tools flank face. However, little literature can be found to reveal the formation process of tools groove wear. Therefore, in this paper, a scratch model of SiC hard particles and diamond tool is proposed by molecular dynamics simulation method to

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17

Mokritskiy, B. Y., and E. S. Sitamov. "Tool Materials for Turning Machine-Building Stainless Steel 09Kh17N7Yu." Proceedings of Higher Educational Institutions. Маchine Building, no. 1 (730) (January 2021): 27–33. http://dx.doi.org/10.18698/0536-1044-2021-1-27-33.

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Hard-to-process specialized stainless steel grade 09Kh17N7Yu has become widely used in various fields of mechanical engineering due to its unique performance properties. The existing recommendations for its processing are outdated and do not meet modern requirements for the performance of metal-cutting tools. This necessitated the need to develop recommendations for modern high-performance machine tools. The paper presents methods of solving this problem based on the example of turning by typical domestic replaceable hard-alloyed cutting plates. Relationships between the tool wear and the oper

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18

Zhang, Hui, Jian Xin Deng, Gui Yu Li, Xing Ai, and Jun Zhao. "Effect of Ambient Temperature on Wear of Cemented Carbide Tool Material." Advanced Materials Research 148-149 (October 2010): 276–79. http://dx.doi.org/10.4028/www.scientific.net/amr.148-149.276.

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Cemented carbide has relatively good mechanical properties, so it is widely used as cutting tools. In this paper, a sliding wear test at high ambient temperature between cemented carbide tool material and ceramic was carried out using a ball-on-disc wear-test machine. The characteristics as to wear rate and friction coefficient were investigated. The special wear rate increased with an increase in operating temperature. The cemented carbide material with addition of TiC phase gave better wear resistance than cemented tungsten carbides at elevated temperature. SEM technology was adopted to obse

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19

Peng, Ruitao, Jiachen Liu, Xiuli Fu, Cuiya Liu, and Linfeng Zhao. "Application of machine vision method in tool wear monitoring." International Journal of Advanced Manufacturing Technology 116, no. 3-4 (2021): 1357–72. http://dx.doi.org/10.1007/s00170-021-07522-4.

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20

Xu, Yanwei, Lin Gui, and Tancheng Xie. "Intelligent Recognition Method of Turning Tool Wear State Based on Information Fusion Technology and BP Neural Network." Shock and Vibration 2021 (July 19, 2021): 1–10. http://dx.doi.org/10.1155/2021/7610884.

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The multi-information data acquisition system of tool wear condition of CNC lathe is built by acquiring the acoustic emission and vibration acceleration signals. The data of acoustic emission and vibration acceleration signals during the process of CNC machine tool processing under the conditions of different tool wear degrees and different cutting conditions are acquired and analyzed using the orthogonal experimental method. The optimum characteristic frequency band of acoustic emission and vibration acceleration signals was extracted by the wavelet envelope decomposition method so as to reco

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21

Pang, Xue Hui, and Xiao Yan Zhang. "Research on the Cutting of High Nitrogen Austenitic Stainless Steel." Advanced Materials Research 156-157 (October 2010): 943–47. http://dx.doi.org/10.4028/www.scientific.net/amr.156-157.943.

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The high nitrogen austenitic stainless steel is a kind of difficult-to-machine material. On the basis of material properties analysis, and through comparison test of tool wear resistance, this article made a study on the typical wear & breakage patterns and wears mechanism of insert during the cutting process, and made an analysis on the affection of the mechanical properties of tool materials of various brands to the cutting technological parameters. The results show that the tool wear and breakage are mainly expressed as adhesive wear of rake face and micro chipping of end cutting edge.

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22

Bai, Qing Shun, Chun Li Yang, Ying Chun Liang, Li Dong Tong, and Yan Zhao. "Wear Characteristics of Micro-Diameter Cutter in High Speed Machining Micro Parts." Key Engineering Materials 375-376 (March 2008): 425–29. http://dx.doi.org/10.4028/www.scientific.net/kem.375-376.425.

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The minimization of mechanical parts is one of important research direction in micro machine or MEMS area. Milling experiments of micro part were conducted on micro machine by using TiAlN-coating micro-diameter cutter. Three kinds of typical workpiece materials (LY12, stainless steel and high-elastic alloy 3J21) were adopted and the wear properties of micro-diameter cutter were investigated carefully. The main reasons for tool wear and breakage were analyzed. It is shown that the common wear characteristics of TiAlN-coating micro-diameter cutter are falling off of coating, breakage of tool nos

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23

Zhao, Guoyong, Chunxiao Li, Zhe Lv, Xiang Cheng, and Guangming Zheng. "Specific energy consumption prediction model of CNC machine tools based on tool wear." International Journal of Computer Integrated Manufacturing 33, no. 2 (2020): 159–68. http://dx.doi.org/10.1080/0951192x.2020.1718763.

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Stavropoulos, Panagiotis, Alexios Papacharalampopoulos, and Thanassis Souflas. "Indirect online tool wear monitoring and model-based identification of process-related signal." Advances in Mechanical Engineering 12, no. 5 (2020): 168781402091920. http://dx.doi.org/10.1177/1687814020919209.

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Tool wear monitoring using vibrations is a complex task, due to various simultaneously occurring vibration sources and due to distortion of the signals acquired. This work investigates the mechanism by which tool wear information is concealed within acquired process-intrinsic vibration signals. Excluding other sources of vibration, such as machine-related, is attempted utilizing process simulations. As a case study, face milling is performed for three different cutting speeds. At first, the resulted simulated wear curves have been compared with experimental ones resulted under the same cutting

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25

Sagar, Chithajalu Kiran, Amrita Priyadarshini, Amit Kumar Gupta, and Devanshi Mathur. "Experimental investigation of tool wear characteristics and analytical prediction of tool life using a modified tool wear rate model while machining 90 tungsten heavy alloys." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 235, no. 1-2 (2020): 242–54. http://dx.doi.org/10.1177/0954405420933113.

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Tungsten heavy alloys are widely used in the manufacturing of weights for aircraft, missiles, boats and race cars; penetrators; radiation shielding; and radioisotope containers. Manufacturing these components needs machining as a secondary operation. Since tungsten heavy alloys are difficult to machine, the in-depth analysis of tool wear growth and mechanism during machining of these alloys becomes essential. Hence, this work focuses on the experimental study of flank wear growth and its effect on other machining outputs for two different tool geometries (−5° and 2° rake angles) during turning

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26

LI, Congbo. "Archard Model Based Machine Tool Wear Model and Finite Element Analysis." Journal of Mechanical Engineering 52, no. 15 (2016): 106. http://dx.doi.org/10.3901/jme.2016.15.106.

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27

Wu, Yanchen. "Control Force Compensation and Wear Monitoring of Variable Stiffness Joints in Drive Machining Process." Mathematical Problems in Engineering 2021 (April 19, 2021): 1–11. http://dx.doi.org/10.1155/2021/5524323.

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Aiming at the joint flexibility and wear state existing in the process of driving mechanical parts, this paper first proposes a stiffness and position decoupling control method for variable stiffness joints, which realizes the joint position control and the unity of joint compliance. The joint stiffness model was obtained by using the static relationship between the Jacobian matrix and the model, and the nonlinear equations composed of the mechanical model and the stiffness model of the variable stiffness device were solved by the optimization method to realize the nonlinear decoupling of the

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28

Wang, Guo F., Qing L. Xie, and Yan C. Zhang. "Tool condition monitoring system based on support vector machine and differential evolution optimization." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 231, no. 5 (2016): 805–13. http://dx.doi.org/10.1177/0954405415619871.

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A tool condition monitoring system based on support vector machine and differential evolution is proposed in this article. In this system, support vector machine is used to realize the mapping between the extracted features and the tool wear states. At the same time, two important parameters of the support vector machine which are called penalty parameter C and kernel parameter [Formula: see text] are optimized simultaneously based on differential evolution algorithm. In order to verify the effectiveness of the proposed system, a multi-tooth milling experiment of titanium alloy was carried out

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Dutta, Samik, Surjya K. Pal, and Ranjan Sen. "Progressive tool condition monitoring of end milling from machined surface images." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 232, no. 2 (2016): 251–66. http://dx.doi.org/10.1177/0954405416640417.

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Indirect tool condition monitoring in end milling is inevitable to produce high-quality finished products due to the complexity of end-milling process. Among the various indirect tool condition monitoring techniques, monitoring based on image processing by analyzing the surface images of final product is gaining high importance due to its non-tactile and flexible nature. The advances in computing facilities, texture analysis techniques and learning machines make these techniques feasible for progressive tool flank wear monitoring. In this article, captured end-milled surface images are analyze

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da Silva, LRR, VTS Del Claro, CLF Andrade, WL Guesser, MJ Jackson, and AR Machado. "Tool wear monitoring in drilling of high-strength compacted graphite cast irons." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 235, no. 1-2 (2020): 207–18. http://dx.doi.org/10.1177/0954405420937857.

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Machining is such a complex system that any foreseen result is practically impossible. However, research always helps to further understand the process, which contributes to providing positive results. Tool wear is always difficult to foresee, but it can be measured and related to several output parameters. In each individual application, there will be the best parameter that most reliably represents the tool wear. In the present investigation, the hole quality parameters (roughness and cylindricity), power consumption, electrical consumption of the machine tool and the acoustic emission signa

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31

Kerr, David, James Pengilley, and Robert Garwood. "Assessment and visualisation of machine tool wear using computer vision." International Journal of Advanced Manufacturing Technology 28, no. 7-8 (2005): 781–91. http://dx.doi.org/10.1007/s00170-004-2420-0.

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32

Li, Anhai, Jun Zhao, and Guanming Hou. "Effect of cutting speed on chip formation and wear mechanisms of coated carbide tools when ultra-high-speed face milling titanium alloy Ti-6Al-4V." Advances in Mechanical Engineering 9, no. 7 (2017): 168781401771370. http://dx.doi.org/10.1177/1687814017713704.

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Chip morphology and its formation mechanisms, cutting force, cutting power, specific cutting energy, tool wear, and tool wear mechanisms at different cutting speeds of 100–3000 m/min during dry face milling of Ti-6Al-4V alloy using physical vapor deposition-(Ti,Al)N-TiN-coated cemented carbide tools were investigated. The cutting speed was linked to the chip formation process and tool failure mechanisms of the coated cemented cutting tools. Results revealed that the machined chips exhibited clear saw-tooth profile and were almost segmented at high cutting speeds, and apparent degree of saw-too

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33

Nelson, S., J. K. Schueller, and J. Tlusty. "Tool Wear in Milling Hardened Die Steel." Journal of Manufacturing Science and Engineering 120, no. 4 (1998): 669–73. http://dx.doi.org/10.1115/1.2830205.

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Tool wear is an important limiting factor in machining hardened steel. Plane milling of H13 hot work tool steel (42–46 HRC) was conducted on a three-axis machine to obtain flank wear data with the objective of finding operating parameters providing extended tool life. Microgram carbide and PCBN tipped carbide round inserts in an off-center ball nose end mill with a single cutting edge were considered. Tool life was longer for the micrograin carbide inserts when cutting speeds were near 150 m/min. The PCBN grades performed best at the highest speed tested. A limited radial and axial depth of cu

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34

Okokpujie, Imhade Princess, Omolayo M. Ikumapayi, Ugochukwu C. Okonkwo, et al. "Experimental and Mathematical Modeling for Prediction of Tool Wear on the Machining of Aluminium 6061 Alloy by High Speed Steel Tools." Open Engineering 7, no. 1 (2017): 461–69. http://dx.doi.org/10.1515/eng-2017-0053.

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AbstractIn recent machining operation, tool life is one of the most demanding tasks in production process, especially in the automotive industry. The aim of this paper is to study tool wear on HSS in end milling of aluminium 6061 alloy. The experiments were carried out to investigate tool wear with the machined parameters and to developed mathematical model using response surface methodology. The various machining parameters selected for the experiment are spindle speed (N), feed rate (f), axial depth of cut (a) and radial depth of cut (r). The experiment was designed using central composite d

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Jahan, Muhammad Pervej, Jianfeng Ma, Craig Hanson, and Greg K. Arbuckle. "Tool wear and resulting surface finish during micro slot milling of polycarbonates using uncoated and coated carbide tools." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 234, no. 1-2 (2019): 52–65. http://dx.doi.org/10.1177/0954405419862479.

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A growing application of polycarbonates is in the microfluidic disks and DNA detection devices, where surface finish of the micro-channels plays an important role. This study intends to investigate the tool wear and surface finish generated during micro slot milling of polycarbonate using uncoated, TiN-coated, and TiAlN-coated tungsten carbide tools. The effects of tool coating and the machining parameters on the possible reduction of tool wear and improvement of surface finish were investigated. It was found that with careful selection of cutting parameters and tool coating, micro-channels wi

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Jamil, Norlida, Ahmad Razlan Yusoff, and Muhammad Hatifi Mansor. "Response Prediction of Static Modal Testing on Milling Machine Tool." Applied Mechanics and Materials 606 (August 2014): 131–35. http://dx.doi.org/10.4028/www.scientific.net/amm.606.131.

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Milling is one of the most common manufacturing processes for automotive component, but its productivity is limited by chatter. This form of chatter is undesirable because it results in premature tool wear, poor surface finish on the machined component and the possibility of serious damage to the machine itself. Modal testing is a form of vibration testing which is able to determine the Frequency Response Function (FRF) of the mechanical test structures. In this paper, the main focus is to obtain natural frequency values for machine tool components in order to establish better conditions in th

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Sun, J., M. Rahman, Y. S. Wong, and G. S. Hong. "Multiclassification of tool wear with support vector machine by manufacturing loss consideration." International Journal of Machine Tools and Manufacture 44, no. 11 (2004): 1179–87. http://dx.doi.org/10.1016/j.ijmachtools.2004.04.003.

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38

Ucun, İsmail, and Serdar Kaplan. "Determination of tool wear and chip formation in drilling process of AISI 1045 material using plasma-nitrided high-speed steel drill bits." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 231, no. 10 (2015): 1725–34. http://dx.doi.org/10.1177/0954405415608105.

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In this study, tool wear and chip formation during the drilling process of AISI 1045 material using plasma-nitrided high-speed steel drill bits were experimentally investigated. Two uncoated and plasma-nitrided drill types were used in the experiments. First, commercial drill bits were subjected to the plasma nitriding process. Following this, the drilling processes were carried out at various feed rates and cutting speeds. A sensitive computer numerical control machine was used in the experiments. Tool wear was determined using scanning electron microscopy and chips obtained from the drilling

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Sultan, F. Abdullah, and R. Panneer. "Improving Machinability in Conventional Turning of Ti-6Al-4V Using Work Piece Pre-Heating with Standard Cutting Tools." Applied Mechanics and Materials 813-814 (November 2015): 347–51. http://dx.doi.org/10.4028/www.scientific.net/amm.813-814.347.

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Machining hard to machine materials using conventional method of machining has proved to be very costly as these materials greatly affect the tool life because of poor machinability. One material that requires considerable study is Titanium which is a relatively lightweight material and provides excellent mechanical properties. The major problems in machining Titanium Alloys are the high cutting temperatures and rapid tool wear. Machining of Titanium using techniques like Laser Assisted Machining and Plasma Assisted Machining have proven to give high productivity rates, but the costs associate

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Ji Chan, Yum. "Improvements to Linear and Nonlinear Models of Machine Key Components." Impact 2021, no. 1 (2021): 15–17. http://dx.doi.org/10.21820/23987073.2021.1.15.

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Precision machinery has come a long way over the years. Factories that once relied on manpower now use machines, and this development has brought with it innumerable benefits including improvements to accuracy, repeatability, productivity and efficiency. Naturally, though, machines are imperfect in that precision of a batch of machines vary slightly. On top of that, machines experience wear and tear or even break-downs. These unpredictable events can be costly to manufacturers. This is why research to better understand factors that affect a machine's precision is important. This knowledge can

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Shinozaki, Akira, and Yoshiharu Namba. "Diamond Tool Wear in the Ultra-Precision Cutting of Large Electroless Nickel Coated Molding Dies." International Journal of Automation Technology 5, no. 3 (2011): 283–88. http://dx.doi.org/10.20965/ijat.2011.p0283.

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In recent years, in a field of space science, large and high precision aspherical molding dies which are used to make aspherical thin foil mirrors for the hard Xray telescope are needed. Therefore to establish the ultra-precision cutting method for these dies is overly expected. In the actual manufacturing, the largemolding die is required to have both high accurate shape accuracy and very small surface roughness as the finished product. To machine the large molding die which has these high accuracies, we should know factors to cause various errors such as shape error and surface roughness and

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Zubarev, Yu M., and M. A. Afanasenkov. "METHODS FOR FORMING MULTI-LAYER WEAR-RESISTANT COATINGS ON THE CUTTING SURFACE OF A METAL WORKING TOOL." Spravochnik. Inzhenernyi zhurnal, no. 283 (October 2020): 27–32. http://dx.doi.org/10.14489/hb.2020.10.pp.027-032.

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Improving the performance of metal-cutting tools, i.e. their wear resistance in a wide range of technological cutting modes, when processing various hard-to-process steels and alloys is an urgent task of modern machine-building production. The efficiency of blade processing at the present stage of development of mechanical engineering depends to a large extent on the performance of the cutting tool, which is primarily determined by the combination of physical and mechanical properties of the tool material-hardness, strength wear resistance, etc. however, obtaining the optimal combination of th

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43

Zubarev, Yu M., and M. A. Afanasenkov. "METHODS FOR FORMING MULTI-LAYER WEAR-RESISTANT COATINGS ON THE CUTTING SURFACE OF A METAL WORKING TOOL." Spravochnik. Inzhenernyi zhurnal, no. 283 (October 2020): 27–32. http://dx.doi.org/10.14489/hb.2020.10.pp.027-032.

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Abstract:

Improving the performance of metal-cutting tools, i.e. their wear resistance in a wide range of technological cutting modes, when processing various hard-to-process steels and alloys is an urgent task of modern machine-building production. The efficiency of blade processing at the present stage of development of mechanical engineering depends to a large extent on the performance of the cutting tool, which is primarily determined by the combination of physical and mechanical properties of the tool material-hardness, strength wear resistance, etc. however, obtaining the optimal combination of th

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Denkena, Berend, Jens Köhler, Roland Meyer, and Jan-Hendrik Stiffel. "Modification of the Tool-Workpiece Contact Conditions to Influence the Tool Wear and Workpiece Loading During Hard Turning." International Journal of Automation Technology 5, no. 3 (2011): 353–61. http://dx.doi.org/10.20965/ijat.2011.p0353.

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Tool wear during hard machining leads to unfavourable changes in the workpiece surface and subsurface layers. Due to increasing flank wear, thermal and mechanical loads affect the microstructure and the residual stress state of the workpiece subsurface. These effects cause a reduction in the lifetime of the machined components during operation. This article presents an approach of modified corner radii of cutting tools for hard turning processes to change the tool wear progression and the influence on the machined subsurface layers. Hereby the size and direction of the contact length of the cu

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Sonawane, S. A., V. K. Tripathi, and S. D. Ambekar. "Wear Behaviour of Cryogenic Treated M2 Tool Steel under Dry Sliding Condition." Applied Mechanics and Materials 798 (October 2015): 395–401. http://dx.doi.org/10.4028/www.scientific.net/amm.798.395.

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The technique of cryogenic treatment of cutting tools is an inexpensive permanent treatment process that improves the physical and mechanical properties of materials such as metals, plastics and composites. It promotes the transformation of the retained austenite into martensite at cryogenic temperatures and also facilitates the formation of fine carbides in the martensite, thereby improving the wear resistance.This paper compares the wear behaviour of hardened and triple tempered AISI M2 high-speed steel and the same steel that was hardened and triple tempered in conjunction with a deep-cryog

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Petryna, Janusz, Arkadiusz Duda, and Maciej Sułowicz. "Eccentricity in Induction Machines—A Useful Tool for Assessing Its Level." Energies 14, no. 7 (2021): 1976. http://dx.doi.org/10.3390/en14071976.

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In the condition monitoring of induction machines operating in various industry sectors, the assessment of eccentricity is as important as the assessment of the condition of windings, bearings, mechanical vibrations or noise. The reasons for the eccentricity can be various; for example, rotor imbalance, damage or wear of the bearings, improper alignment of the rotor and the load machine and finally, assembly errors after overhaul. Disregard of this phenomenon during routine tests may result in the development of vibrations transmitted to the stator windings, faster wear of the bearings and eve

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Makarov, V. F., A. V. Shokhrin, and O. N. Potyagailo. "Influence of cutting conditions and tool wear on the cutting parameters for numerically controlled machine tools." Russian Engineering Research 30, no. 12 (2010): 1276–78. http://dx.doi.org/10.3103/s1068798x10120221.

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Makarov, V. F., A. V. Shokhrin, and O. N. Potyagailo. "Influence of cutting conditions and tool wear on the cutting parameters for numerically controlled machine tools." Russian Engineering Research 31, no. 1 (2011): 69–73. http://dx.doi.org/10.3103/s1068798x11010163.

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Górski, Jarosław, Karol Szymanowski, Piotr Podziewski, Katarzyna Śmietańska, Paweł Czarniak, and Mariusz Cyrankowski. "Use of cutting force and vibro-acoustic signals in tool wear monitoring based on multiple regression technique for compreg milling." BioResources 14, no. 2 (2019): 3379–88. http://dx.doi.org/10.15376/biores.14.2.3379-3388.

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This study focused on a computerised TCM (tool condition monitoring) system as a part of automated monitoring of the machining processes in the wood industry. The system’s principal task was to evaluate the actual state of tool wear without disrupting the normal course of machine tool exploitation for cutting force and vibro-acoustic signals analysis. During the experiment, five physical quantities that are generated during machining were measured and recorded: cutting forces in two directions (Fx, Fy), ultrasonic stress waves (acoustic emission – AE), acoustic pressure in the range of audible

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Ma, Jianwei, Yuanyuan Gao, Zhenyuan Jia, Dening Song, and Likun Si. "Influence of spindle speed on tool wear in high-speed milling of Inconel 718 curved surface parts." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 232, no. 8 (2016): 1331–41. http://dx.doi.org/10.1177/0954405416668925.

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High-speed milling, which provides an efficient approach for high-quality machining, is widely adopted for machining difficult-to-machine materials such as Inconel 718. For high-speed milling of Inconel 718 curved surface parts, the spindle speed which determines cutting speed directly is regarded as an important cutting parameter related to tool wear and machining efficiency. Meanwhile, because of the changing geometric features of curved surface, cutting force is changing all the time with the variation of geometric features, which influences not only tool wear but also machining quality sig

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