This page has only limited features, please log in for full access.

Unclaimed
Zhaohui Deng
Hunan Provincial Key Laboratory of High Efficiency and Precision Machining of Difficult to Machine Material, Hunan University of Science and Technology, Xiangtan, China

Basic Info

Basic Info is private.

Honors and Awards

The user has no records in this section


Career Timeline

The user has no records in this section.


Short Biography

The user biography is not available.
Following
Followers
Co Authors
The list of users this user is following is empty.
Following: 0 users

Feed

Original article
Published: 03 July 2021 in The International Journal of Advanced Manufacturing Technology
Reads 0
Downloads 0

Uneven surface quality usually occurs when grinding welds offline, which results non-uniform stress and then would damage the workpiece. In this paper, the robotic welding seam online grinding system based on laser vision sensor was proposed and built. A weld seam tracking software was developed and the data online interaction method of grinding system based on XML (Extensible Markup Language) file was applied. Firstly, hand-eye calibration model was built to convert data in the robot coordinate system. Then the weld profile information was extracted and stored in the data buffer area, and the coordinates of the robotic grinding point were transmitted through the self-developed weld grinding software. Finally, the vision system and the self-made grinding system were integrated at the end of the robot. The experiments were conducted to verify the reliability and practicality of this system and the proposed data interaction online method.

ACS Style

Jimin Ge; Zhaohui Deng; Zhongyang Li; Wei Li; Lishu Lv; Tao Liu. Robot welding seam online grinding system based on laser vision guidance. The International Journal of Advanced Manufacturing Technology 2021, 1 -13.

AMA Style

Jimin Ge, Zhaohui Deng, Zhongyang Li, Wei Li, Lishu Lv, Tao Liu. Robot welding seam online grinding system based on laser vision guidance. The International Journal of Advanced Manufacturing Technology. 2021; ():1-13.

Chicago/Turabian Style

Jimin Ge; Zhaohui Deng; Zhongyang Li; Wei Li; Lishu Lv; Tao Liu. 2021. "Robot welding seam online grinding system based on laser vision guidance." The International Journal of Advanced Manufacturing Technology , no. : 1-13.

Original article
Published: 28 January 2021 in The International Journal of Advanced Manufacturing Technology
Reads 0
Downloads 0

Grinding surface topography is an important evaluation index of grinding surface integrity. In order to realize the prediction of the grinding surface topography, a three-dimensional theoretical model of the surface topography of internal grinding was established in terms of the mutual movement between the grinding wheel and the workpiece and a data model for the surface roughness of internal grinding was set up based on the grey wolf algorithm-support vector machine (GWO-SVM). Taking the inner ring of rolling bearing as an example, the grinding experiment was carried out to analyze the influence of technological parameters on the surface topography and surface roughness. Three traditional data models were compared with the GWO-SVM data model, the comparison results showed that the GWO-SVM data model had a small change in the relative error of the predicted value of the test sample, the maximum relative error was 5.42%, and the average relative error was 3.95%. Experimental results were compared with the results of theoretical model and data model, the results show that the error of both the theoretical model and the data model is within 10%. This work should be helpful in reflecting the formation mechanism of the surface topography of the internal grinding and provide theoretical and technical support for high-precision and high-efficiency manufacturing of high-end rolling bearing.

ACS Style

Qianwei Gu; Zhaohui Deng; Lishu Lv; Tao Liu; Hongzhao Teng; Dongfeng Wang; Julong Yuan. Prediction research for surface topography of internal grinding based on mechanism and data model. The International Journal of Advanced Manufacturing Technology 2021, 113, 821 -836.

AMA Style

Qianwei Gu, Zhaohui Deng, Lishu Lv, Tao Liu, Hongzhao Teng, Dongfeng Wang, Julong Yuan. Prediction research for surface topography of internal grinding based on mechanism and data model. The International Journal of Advanced Manufacturing Technology. 2021; 113 (3-4):821-836.

Chicago/Turabian Style

Qianwei Gu; Zhaohui Deng; Lishu Lv; Tao Liu; Hongzhao Teng; Dongfeng Wang; Julong Yuan. 2021. "Prediction research for surface topography of internal grinding based on mechanism and data model." The International Journal of Advanced Manufacturing Technology 113, no. 3-4: 821-836.

Review
Published: 16 September 2020 in Journal of Manufacturing Processes
Reads 0
Downloads 0

Grinding is a key process in machining, which has direct impact on the accuracy, performance and service life of the finished workpiece. With the rapid development and popularization of computers and information technology, the intelligentization of grinding technology has become an important research topic. Especially with the explosive growth of industry data, grinding process data has become the core element in intelligent manufacturing. To understand the connotation, status quo and development trends of intelligent technology in the grinding process, this paper takes the relationship between grinding process data and intelligent manufacturing as perspective. A research structure of data-driven mode is built in the grinding process, followed by the basic concepts and characteristics of grinding data. Relevant researches that maybe beneficial to the proposed research structure are reviewed in five layers, which include data acquisition layer, data processing and fusion layer, data mining and analysis layer, data representation and evolution layer, and data service layer. Finally, the current data-driven mode and future trends in this field are summarized.

ACS Style

Lishu Lv; Zhaohui Deng; Tao Liu; Zhongyang Li; Wei Liu. Intelligent technology in grinding process driven by data: A review. Journal of Manufacturing Processes 2020, 58, 1039 -1051.

AMA Style

Lishu Lv, Zhaohui Deng, Tao Liu, Zhongyang Li, Wei Liu. Intelligent technology in grinding process driven by data: A review. Journal of Manufacturing Processes. 2020; 58 ():1039-1051.

Chicago/Turabian Style

Lishu Lv; Zhaohui Deng; Tao Liu; Zhongyang Li; Wei Liu. 2020. "Intelligent technology in grinding process driven by data: A review." Journal of Manufacturing Processes 58, no. : 1039-1051.

Journal article
Published: 14 August 2020 in Journal of Manufacturing Processes
Reads 0
Downloads 0

A calculation model of grinding temperature during full tooth groove form grinding (FTGFG) was established through the simplification of the three-dimensional (3D) heat conduction process and based on the theoretical analysis of the transient moving heat source temperature field. The proposed model calculated the grinding temperature distribution of the gear surface and also described the coupling effect of two adjacent grinding heat sources at the junction of the tooth groove. Based on the grinding principle and the contact geometry relationship between the formed grinding wheel and the workpiece, the distributions of grinding parameters, grinding wheel geometry parameters, the actual contact arc length between the grinding wheel and the workpiece, tangential grinding force, and the heat partition to the workpiece were analyzed. A 3D non-uniform heat flux distribution model was also developed based on the actual tangential grinding force distribution, the linear velocity distribution of the grinding wheel, the heat partition ratio along the cross-section of the tooth groove, and the triangular heat flux model in the direction of the contact arc for the contact zone during FTGFG. Finally, a test method for form grinding temperature measurement was designed, and the theoretical model was verified by experimental results. Test results revealed that the temperature distribution on the tooth groove surface during form grinding was non-uniform. Due to the coupling effect of two adjacent heat sources, the temperature increased sharply, and a steep peak was formed at the flange where the bottom plane and the transition arc intersected or the transition arc and the involute intersected. A comparison between experimental and theoretical results on the ground surface and in the transverse section revealed that the analytical model had better prediction accuracy and that the relative error was within 15 %.

ACS Style

Jun Yi; Tan Jin; Wei Zhou; Zhaohui Deng. Theoretical and experimental analysis of temperature distribution during full tooth groove form grinding. Journal of Manufacturing Processes 2020, 58, 101 -115.

AMA Style

Jun Yi, Tan Jin, Wei Zhou, Zhaohui Deng. Theoretical and experimental analysis of temperature distribution during full tooth groove form grinding. Journal of Manufacturing Processes. 2020; 58 ():101-115.

Chicago/Turabian Style

Jun Yi; Tan Jin; Wei Zhou; Zhaohui Deng. 2020. "Theoretical and experimental analysis of temperature distribution during full tooth groove form grinding." Journal of Manufacturing Processes 58, no. : 101-115.

Energy digitization in manufacturing
Published: 14 May 2020 in International Journal of Production Research
Reads 0
Downloads 0

Reducing the energy consumption of machine tool processing has been a consistent concern and research issue in the international manufacturing industry. To achieve energy conservation and emissions reduction in machine tools, an energy consumption model of the machining process must first be established. However, considering the differences in machining equipment, complex energy flow conditions and time-varying load forces, accurate energy consumption of machining process can be difficult to obtain. Against this backdrop, our research proposes a modelling method for processing energy consumption with an integration mechanism and data, that considers the advantages of mechanism analysis modelling and data modelling. Among them, the mechanism analytical model for characterising energy consumption is determined by the dynamic mechanism of the multi-energy source of the machine tool. The data model is built using a support vector machine (SVM) algorithm based on the deviation between the actual results and the theoretical model. Then, a case study is performed to verify the feasibility and practicability of the proposed method. The results demonstrate accurate prediction and quantitative analysis of energy consumption.

ACS Style

Lishu Lv; Zhaohui Deng; Can Yan; Tao Liu; Linlin Wan; Qianwei Gu. Modelling and analysis for processing energy consumption of mechanism and data integrated machine tool. International Journal of Production Research 2020, 58, 7078 -7093.

AMA Style

Lishu Lv, Zhaohui Deng, Can Yan, Tao Liu, Linlin Wan, Qianwei Gu. Modelling and analysis for processing energy consumption of mechanism and data integrated machine tool. International Journal of Production Research. 2020; 58 (23):7078-7093.

Chicago/Turabian Style

Lishu Lv; Zhaohui Deng; Can Yan; Tao Liu; Linlin Wan; Qianwei Gu. 2020. "Modelling and analysis for processing energy consumption of mechanism and data integrated machine tool." International Journal of Production Research 58, no. 23: 7078-7093.

Original article
Published: 18 April 2020 in The International Journal of Advanced Manufacturing Technology
Reads 0
Downloads 0

A study of a noncircular workpiece grinding mechanism for improving the quality of noncircular grinding was conducted. By combining the principle of heat transfer, the geometry, and the kinematics in the high-speed grinding of noncircular workpiece, a variable heat flow distribution model was developed to evaluate the temperature field. Through a reasonable hypothesis and simplification, a three-dimensional (3D) finite element (FE) simulation model was established based on the variable heat source distribution model. The temperature field in the workpiece was simulated with a 3D transient thermal FE code. The grinding temperature test platform using an infrared thermal imager was established. Experimental results were compared with the results of a simulation; the comparison results showed that the temperature field obtained from ANSYS and the infrared thermal imager were nearly identical, the maximum error was 5.91%, and the simulation results truly reflected noncircular high-speed grinding heat conditions. Based on the analysis of experimental and simulation results, the influence of grinding process parameters on the grinding temperature in high-speed grinding of the noncircular workpiece was revealed. This work should be helpful in solving the problem of thermal damage on the surface of noncircular workpieces during high-speed grinding.

ACS Style

Tao Liu; Zhaohui Deng; Lishu Lv; Jun Yi; Shuailong She; Linlin Wan. Theoretical and experimental study of temperature field in noncircular high-speed grinding. The International Journal of Advanced Manufacturing Technology 2020, 107, 3581 -3592.

AMA Style

Tao Liu, Zhaohui Deng, Lishu Lv, Jun Yi, Shuailong She, Linlin Wan. Theoretical and experimental study of temperature field in noncircular high-speed grinding. The International Journal of Advanced Manufacturing Technology. 2020; 107 (7-8):3581-3592.

Chicago/Turabian Style

Tao Liu; Zhaohui Deng; Lishu Lv; Jun Yi; Shuailong She; Linlin Wan. 2020. "Theoretical and experimental study of temperature field in noncircular high-speed grinding." The International Journal of Advanced Manufacturing Technology 107, no. 7-8: 3581-3592.

Journal article
Published: 13 March 2020 in Journal of Cleaner Production
Reads 0
Downloads 0

The processing parameters/plan decision of the machine tool can effectively realize the coordinated optimization of production efficiency, processing quality, resource consumption and environmental emissions. However, the current research has problems such as single decision-making objectives, high degree of subjective decision-making, and large error in decision-making results. Against this backdrop, our research proposes a multi-objective decision-making method for a machining process plan. Firstly, the resource consumption and environmental emissions of machining process are analyzed based on an input-process-output (IPO) model. Then, in view of the complex interplay between traditional indicators and environmental impact indicators, we propose a combination weight determined by an analytic hierarchy process (AHP) and the criteria importance through intercriteria correlation (CRITIC) method, which considers subjective weight and objective weight. Thirdly, we set positive and negative reference sequences using the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method, and the gray correlation and Euclidean distance are used for sorting each experimental group (processing parameters). Finally, an experimental case study is performed on a spindle sleeve made of GCr15, the machining type include turning, grinding, and drilling. The optimal processing parameters are determined to achieve coordinated optimization of resource consumption, processing quality, and production efficiency.

ACS Style

Lishu Lv; Zhaohui Deng; Huijuan Meng; Tao Liu; Linlin Wan. A multi-objective decision-making method for machining process plan and an application. Journal of Cleaner Production 2020, 260, 121072 .

AMA Style

Lishu Lv, Zhaohui Deng, Huijuan Meng, Tao Liu, Linlin Wan. A multi-objective decision-making method for machining process plan and an application. Journal of Cleaner Production. 2020; 260 ():121072.

Chicago/Turabian Style

Lishu Lv; Zhaohui Deng; Huijuan Meng; Tao Liu; Linlin Wan. 2020. "A multi-objective decision-making method for machining process plan and an application." Journal of Cleaner Production 260, no. : 121072.

Journal article
Published: 14 February 2020 in Ceramics International
Reads 0
Downloads 0

To reveal the influence of polishing process parameters on the surface quality of sapphire after double-sided chemical mechanical polishing (CMP), the orthogonal test of sapphire wafer double-sided CMP was carried out by YH2M77110 high-precision vertical double-sided grinding/polishing machine. The effects of polishing parameters, such as polishing pressure(p), polishing carrier rotation speed(vr), and polishing time(t), were investigated regarding their effects on material removal rate (MRR), surface morphology, surface roughness (SR) and subsurface damage (SSD) depth. The experimental results showed that p and vr have the similar and significant positive correlation effects on the MRR and the SSD depth. However, as the increase of p and vr, the SR tends to decrease first and then increase. Prolonging t can effectively reduce the SR and the SSD depth but has a minor positive correlation effect on the MRR. The orthogonal experiment result optimization method based on weight matrix is used to obtain the influence degree of each factor on the orthogonal test index value. The set of optimal process parameter combinations are p = 35.37kPa, vr = 30r/min, t = 50min, which presented a higher MRR, lower SR and SSD depth. The quality and efficiency of sapphire double-sided CMP can be improved through parameter optimization according to this study.

ACS Style

Zhongyang Li; Zhaohui Deng; Yangxuan Hu. Effects of polishing parameters on surface quality in sapphire double-sided CMP. Ceramics International 2020, 46, 13356 -13364.

AMA Style

Zhongyang Li, Zhaohui Deng, Yangxuan Hu. Effects of polishing parameters on surface quality in sapphire double-sided CMP. Ceramics International. 2020; 46 (9):13356-13364.

Chicago/Turabian Style

Zhongyang Li; Zhaohui Deng; Yangxuan Hu. 2020. "Effects of polishing parameters on surface quality in sapphire double-sided CMP." Ceramics International 46, no. 9: 13356-13364.

Journal article
Published: 21 July 2019 in Metals
Reads 0
Downloads 0

This paper proposes intermittent feed high-speed grinding, which shows considerable advantages in terms of reducing grinding temperature, relieving grinding wheel blockage and improving workpiece surface integrity. In this grinding, the continuous feed mode of the workpiece is changed into the normal feed + fast retreat reciprocating feed mode by a fast linear feed worktable. By reasonably setting the normal feed distance of single grinding, the action time of the grinding wheel and workpiece is reduced, so that the grinding heat transfer process does not reach a stable state, reducing the grinding temperature during single grinding. Besides this, the surface temperature is cooled to nearly room temperature and the grinding wheel is flushed by the timely retreating of the grinding wheel to allow the grinding fluid to enter the grinding zone fully, which greatly reduces the phenomenon of heat accumulation and grinding wheel loading. An intermittent feed high-speed grinding experiment on Ti-6Al-4V (TC4) titanium alloy was systematically carried out, and the influence of the grinding parameters on grinding force and grinding temperature was deeply analyzed. The instantaneous grinding temperature field and thermal stress field of TC4 titanium alloy in intermittent feed high-speed grinding were constructed with the finite element method. The surface morphology of the grinding wheel and TC4 titanium alloy specimens after intermittent feed grinding were analyzed and were compared with those after traditional continuous grinding. It was found that the curves of the grinding force and temperature varied with time in the process of machining, consisting of many “pulse” peaks. Under the same grinding parameters, the magnitude of the grinding force is the same as that of continuous grinding. In a certain range, the grinding temperature is greatly affected by the single feed distance and the interval time. The numerical simulation results are in good agreement with the experimental results, and the error is controlled within 12%. Compared with traditional high-speed grinding, under the same process parameters, the grinding temperature is greatly reduced, the surface integrity of the workpiece is better, and the clogging of the grinding wheel is greatly reduced.

ACS Style

Jun Yi; Wei Zhou; Zhaohui Deng. Experimental Study and Numerical Simulation of the Intermittent Feed High-Speed Grinding of TC4 Titanium Alloy. Metals 2019, 9, 802 .

AMA Style

Jun Yi, Wei Zhou, Zhaohui Deng. Experimental Study and Numerical Simulation of the Intermittent Feed High-Speed Grinding of TC4 Titanium Alloy. Metals. 2019; 9 (7):802.

Chicago/Turabian Style

Jun Yi; Wei Zhou; Zhaohui Deng. 2019. "Experimental Study and Numerical Simulation of the Intermittent Feed High-Speed Grinding of TC4 Titanium Alloy." Metals 9, no. 7: 802.

Journal article
Published: 01 May 2019 in International Journal of Mechanical Sciences
Reads 0
Downloads 0
ACS Style

Wei Liu; Zhaohui Deng; Yuanyuan Shang; Linlin Wan. Parametric evaluation and three-dimensional modelling for surface topography of grinding wheel. International Journal of Mechanical Sciences 2019, 155, 334 -342.

AMA Style

Wei Liu, Zhaohui Deng, Yuanyuan Shang, Linlin Wan. Parametric evaluation and three-dimensional modelling for surface topography of grinding wheel. International Journal of Mechanical Sciences. 2019; 155 ():334-342.

Chicago/Turabian Style

Wei Liu; Zhaohui Deng; Yuanyuan Shang; Linlin Wan. 2019. "Parametric evaluation and three-dimensional modelling for surface topography of grinding wheel." International Journal of Mechanical Sciences 155, no. : 334-342.

Journal article
Published: 20 February 2019 in Processes
Reads 0
Downloads 0

Machine tool is the basic manufacturing equipment in today’s mechanical manufacturing industry. A considerable amount of energy and carbon emission are consumed in machining processes, the realization of sustainable manufacturing of machine tools have become an urgent problem to be solved in the field of industry and academia. Therefore, five types of machine tools were selected for the typical machining processes (turning, milling, planning, grinding and drilling). Then the model of the energy efficiency, carbon efficiency and green degree model were established in this paper which considers the theory and experiment with the resource, energy and emission modeling method. The head frame spindle and head frame box were selected to verify the feasibility and practicability of the proposed model, based on the orthogonal experiment case of the key machining process. In addition, the influence rules of machining parameters were explored and the energy efficiency and green degree of the machine tools were compared. Finally, the corresponding strategies for energy conservation and emission reduction were proposed.

ACS Style

Lishu Lv; Zhaohui Deng; Tao Liu; Linlin Wan; Wenliang Huang; Hui Yin; Tao Zhao. A Composite Evaluation Model of Sustainable Manufacturing in Machining Process for Typical Machine Tools. Processes 2019, 7, 110 .

AMA Style

Lishu Lv, Zhaohui Deng, Tao Liu, Linlin Wan, Wenliang Huang, Hui Yin, Tao Zhao. A Composite Evaluation Model of Sustainable Manufacturing in Machining Process for Typical Machine Tools. Processes. 2019; 7 (2):110.

Chicago/Turabian Style

Lishu Lv; Zhaohui Deng; Tao Liu; Linlin Wan; Wenliang Huang; Hui Yin; Tao Zhao. 2019. "A Composite Evaluation Model of Sustainable Manufacturing in Machining Process for Typical Machine Tools." Processes 7, no. 2: 110.

Journal article
Published: 13 June 2018 in Metals
Reads 0
Downloads 0

The weldabilities were investigated during 10 kW high-power fiber laser welding of 304 stainless steel with the shielding gases of 100% Ar, 80% Ar + 20% CO2 and 100% CO2, respectively. As the proportion of CO2 in shielding gas increased from 0% to 20% then to 100%, the molten pool became unstable and the optional parameter range for obtaining a good weld appearance became narrow. The defocused distance was more negative during the CO2 shielded welding, where the weld joint without apparent defect, the maximum penetration, and a necking of weld width were formed. Porosity has been suppressed and eliminated in the CO2 shielded weld joint. The highest microhardness was obtained from the Ar + CO2 shielded weld joint, because the denser δ-ferrite appeared in the Ar + CO2 shielded weld joint. The microhardness of CO2 shielded weld joints was relative low because of the oxidation of the elements of C, Si, Mn, and Cr, which reduces the solid solution hardening tendency during the welding process.

ACS Style

Shichun Li; Wei Xu; Fei Su; Hui Deng; Zhaohui Deng. Influence of CO2 Shielding Gas on High Power Fiber Laser Welding Performance. Metals 2018, 8, 449 .

AMA Style

Shichun Li, Wei Xu, Fei Su, Hui Deng, Zhaohui Deng. Influence of CO2 Shielding Gas on High Power Fiber Laser Welding Performance. Metals. 2018; 8 (6):449.

Chicago/Turabian Style

Shichun Li; Wei Xu; Fei Su; Hui Deng; Zhaohui Deng. 2018. "Influence of CO2 Shielding Gas on High Power Fiber Laser Welding Performance." Metals 8, no. 6: 449.

Journal article
Published: 29 July 2017 in Applied Surface Science
Reads 0
Downloads 0

The present work has been focused on the effects of surface-active element sulfur on welding properties during 10 kW high power laser welding of 304 stainless steel thick plate. Molten pool behavior, morphology feature of sulfide inclusions, metallographic structures, XRD patterns, microhardness, potentiodynamic polarization curves and pitted surface have been investigated and discussed. The results indicated that the added sulfur powder improved the weld depth by increasing molten metal fluidity, elongating molten pool and promoting heat transmission. The observed sulfide inclusions had small particle size of 0.65 μm in average and were distributed sparsely in weld joint. The WWS (weld joint with sulfur powder) had higher δ-ferrite content and finer grain size than the WWOS (weld joint without sulfur powder) and BM (base metal) due to the effects of sulfide inclusions on crystallizing process. The preferred orientations of γ-austenite along the (200) and (220) directions were promoted both in WWS and WWOS. Fine grain size and high δ-ferrite content led to high microhardness. The WWS had the highest microhardness among all the specimens. The WWOS and BM had a similar corrosion resistance. By comprehensive comparison, the WWS had a relative lower corrosion resistance than others, since sulfide inclusions in WWS not only had some benefits but also had some bad effects on corrosion property.

ACS Style

Shichun Li; Zhaohui Deng; Hui Deng; Wei Xu. Microstructure and properties of weld joint during 10 kW laser welding with surface-active element sulfur. Applied Surface Science 2017, 426, 704 -713.

AMA Style

Shichun Li, Zhaohui Deng, Hui Deng, Wei Xu. Microstructure and properties of weld joint during 10 kW laser welding with surface-active element sulfur. Applied Surface Science. 2017; 426 ():704-713.

Chicago/Turabian Style

Shichun Li; Zhaohui Deng; Hui Deng; Wei Xu. 2017. "Microstructure and properties of weld joint during 10 kW laser welding with surface-active element sulfur." Applied Surface Science 426, no. : 704-713.

Original article
Published: 01 June 2014 in The International Journal of Advanced Manufacturing Technology
Reads 0
Downloads 0

In order to mitigate the problems in CNC grinding of a camshaft caused by varying grinding depth along the periphery of the cam, a novel grinding strategy is proposed to keep the grinding depth constant during the process. In comparison with the current cam grinding strategy, analysis results derived from the modelling of the process indicate that it is applicable to keep the grinding depth constant. Consequently, in combination with a constant grinding infeed speed, the material removal rate (MRR) is also kept stable. With the same grinding depth, the volume of removed material in a certain single revolution with the new processing strategy is less than the conventional process. This new strategy can increase the grinding depth without causing grinding burns. Therefore, the total number of grinding revolutions/steps decreases dramatically. Moreover, experiments for comparison of both the single revolution machining and the whole cam grinding have been carried out on a CNC8325B camshaft grinder. The results show that the new process improves machining efficiency dramatically while ensuring the machining quality.

ACS Style

H. Tang; Z. H. Deng; Y. S. Guo; J. Qian; Dominiek Reynaerts. Research on constant grinding depth model for cam grinding. The International Journal of Advanced Manufacturing Technology 2014, 74, 351 -359.

AMA Style

H. Tang, Z. H. Deng, Y. S. Guo, J. Qian, Dominiek Reynaerts. Research on constant grinding depth model for cam grinding. The International Journal of Advanced Manufacturing Technology. 2014; 74 (1-4):351-359.

Chicago/Turabian Style

H. Tang; Z. H. Deng; Y. S. Guo; J. Qian; Dominiek Reynaerts. 2014. "Research on constant grinding depth model for cam grinding." The International Journal of Advanced Manufacturing Technology 74, no. 1-4: 351-359.