Pub Date : 2016-02-22DOI: 10.1504/IJMR.2015.074820
D. Costa, A. Marques, F. Amorim
The interpolated helical milling (IHM) is considered a very flexible strategy which allows milling, instead of drilling, holes with more generic tools. However, despite of its dissemination in industry, it is currently known that few research works have been carried out about the influence of cutting condition on the quality of holes and their cutting time. In this study, the production of holes was investigated using the IHM technique for rough and finish machining conditions, and the process performance was evaluated by the cutting time, and the holes surface roughness and roundness. Fifty four holes were milled in AISI 1045 steel bars with end mill cutters in a vertical machining centre; following Taguchi (L9) experiments where the cutting speed, circular feed per tooth and axial feed per tooth were analysed for rough operations, and for the finish operations, the radial depth of cut was also investigated. From the results, it can be concluded that high quality surface can be achieved at the rough phase. In this case, the combination of lower axial feed rates (ƒz) and higher cutting speed (Vc) should be selected to guarantee a higher hole quality, without compromising the productivity. [Received 13 April 2015; Revised 06 August 2015; Accepted 06 September 2015]
{"title":"Hole quality and cutting time evaluation in the interpolated helical milling","authors":"D. Costa, A. Marques, F. Amorim","doi":"10.1504/IJMR.2015.074820","DOIUrl":"https://doi.org/10.1504/IJMR.2015.074820","url":null,"abstract":"The interpolated helical milling (IHM) is considered a very flexible strategy which allows milling, instead of drilling, holes with more generic tools. However, despite of its dissemination in industry, it is currently known that few research works have been carried out about the influence of cutting condition on the quality of holes and their cutting time. In this study, the production of holes was investigated using the IHM technique for rough and finish machining conditions, and the process performance was evaluated by the cutting time, and the holes surface roughness and roundness. Fifty four holes were milled in AISI 1045 steel bars with end mill cutters in a vertical machining centre; following Taguchi (L9) experiments where the cutting speed, circular feed per tooth and axial feed per tooth were analysed for rough operations, and for the finish operations, the radial depth of cut was also investigated. From the results, it can be concluded that high quality surface can be achieved at the rough phase. In this case, the combination of lower axial feed rates (ƒz) and higher cutting speed (Vc) should be selected to guarantee a higher hole quality, without compromising the productivity. [Received 13 April 2015; Revised 06 August 2015; Accepted 06 September 2015]","PeriodicalId":154059,"journal":{"name":"Int. J. Manuf. Res.","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130267019","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-09-07DOI: 10.1504/IJMR.2015.071625
A. T. Simon, C. R. C. Lima
Computer numerical control (CNC) technology has received high level of investment around the world. Considering machine tool for machining operations, almost one third of those installed in Brazilian industrial companies is composed of CNC machines. About 46% of them are less than ten years old and belong to a generation of machine tools that should have a higher density of automation, incorporating features and advanced production techniques that suppose efficient management. However, there is a low rate of utilisation of available resources, such as tool presetting, in-process measurement systems and automatic load and unload to reduce idle time. Additionally, there is a reduced use of techniques to achieve higher maximum cutting speeds and longer tool life. There is also a low rate of use of low environmental-impact techniques such as dry machining, and a very low percentage of companies that treat and reuse cutting oil. [Received 15 March 2015; Revised 4 June 2015; Accepted 13 June 15]
{"title":"Computer numeric control machine tools utilisation by metalworking companies in Brazil","authors":"A. T. Simon, C. R. C. Lima","doi":"10.1504/IJMR.2015.071625","DOIUrl":"https://doi.org/10.1504/IJMR.2015.071625","url":null,"abstract":"Computer numerical control (CNC) technology has received high level of investment around the world. Considering machine tool for machining operations, almost one third of those installed in Brazilian industrial companies is composed of CNC machines. About 46% of them are less than ten years old and belong to a generation of machine tools that should have a higher density of automation, incorporating features and advanced production techniques that suppose efficient management. However, there is a low rate of utilisation of available resources, such as tool presetting, in-process measurement systems and automatic load and unload to reduce idle time. Additionally, there is a reduced use of techniques to achieve higher maximum cutting speeds and longer tool life. There is also a low rate of use of low environmental-impact techniques such as dry machining, and a very low percentage of companies that treat and reuse cutting oil. [Received 15 March 2015; Revised 4 June 2015; Accepted 13 June 15]","PeriodicalId":154059,"journal":{"name":"Int. J. Manuf. Res.","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124572629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-09-07DOI: 10.1504/IJMR.2015.071626
I. Santos, M. Polli, Hioki Daniel
This work investigates how the input parameters (pulse current, polarity, pulse on time, and duty time) in EDM of machining titanium alloy Ti-6Al-4V with graphite electrodes effect on surface integrity and material removal rate. The approach employed involves the Design of Experiments (DOE) Method. The results showed that better surface finish is achieved by using positive polarity on the electrode, however this condition leads to lower material removal rate. The white layer thickness is mainly influenced by the pulse on time and it increases as the pulse on time increases.
{"title":"Influence of input parameters on the electrical discharge machining of titanium alloy (TI-6AL-4V)","authors":"I. Santos, M. Polli, Hioki Daniel","doi":"10.1504/IJMR.2015.071626","DOIUrl":"https://doi.org/10.1504/IJMR.2015.071626","url":null,"abstract":"This work investigates how the input parameters (pulse current, polarity, pulse on time, and duty time) in EDM of machining titanium alloy Ti-6Al-4V with graphite electrodes effect on surface integrity and material removal rate. The approach employed involves the Design of Experiments (DOE) Method. The results showed that better surface finish is achieved by using positive polarity on the electrode, however this condition leads to lower material removal rate. The white layer thickness is mainly influenced by the pulse on time and it increases as the pulse on time increases.","PeriodicalId":154059,"journal":{"name":"Int. J. Manuf. Res.","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124815052","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-09-07DOI: 10.1504/IJMR.2015.071615
S. Muthuvel, R. Adalarasan, M. Rajmohan
Plasma arc cutting (PAC) is a widely used industrial process for cutting different materials at higher speeds. The capability of PAC to compete with laser cutting has created a significant amount of research attention. The present study was focused towards assessing the quality of cut obtained under different cutting conditions by varying the process parameters like cutting speed, arc current and stand-off distance. The quality of cut was monitored by measuring the surface roughness and kerf width. A new integrated approach of desirability function-based response surface methodology (DRSM) was disclosed for modelling and predicting the optimal cutting condition. The effectiveness of DRSM technique was proved by conducting a confirmation test. A significant improvement was observed in the quality characteristics and an overall P-profile plot of the cut surfaces was also examined to study the enhancement in surface finish. [Received 20 August 2014; Revised 15 April 2015; Accepted 25 April 2015]
{"title":"Parameter design in plasma arc cutting of galvanised iron sheet using desirability function-based response surface methodology","authors":"S. Muthuvel, R. Adalarasan, M. Rajmohan","doi":"10.1504/IJMR.2015.071615","DOIUrl":"https://doi.org/10.1504/IJMR.2015.071615","url":null,"abstract":"Plasma arc cutting (PAC) is a widely used industrial process for cutting different materials at higher speeds. The capability of PAC to compete with laser cutting has created a significant amount of research attention. The present study was focused towards assessing the quality of cut obtained under different cutting conditions by varying the process parameters like cutting speed, arc current and stand-off distance. The quality of cut was monitored by measuring the surface roughness and kerf width. A new integrated approach of desirability function-based response surface methodology (DRSM) was disclosed for modelling and predicting the optimal cutting condition. The effectiveness of DRSM technique was proved by conducting a confirmation test. A significant improvement was observed in the quality characteristics and an overall P-profile plot of the cut surfaces was also examined to study the enhancement in surface finish. [Received 20 August 2014; Revised 15 April 2015; Accepted 25 April 2015]","PeriodicalId":154059,"journal":{"name":"Int. J. Manuf. Res.","volume":"2285 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130276042","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-09-07DOI: 10.1504/IJMR.2015.071616
M. A. Moghaddam, F. Kolahan
The present research addresses the multi-criteria modelling and optimisation of electrical discharge machining (EDM) process, via optimised back propagation neural networks (OBPNN) and simulated annealing (SA) algorithm. The process response characteristics considered are material removal rate, surface roughness, and tool wear rate. The process input parameters include voltage, peak current, pulse off time, and pulse on time and duty factor. The three performance characteristics are combined into a single objective using weighted normalised grades (WNG) obtained from experimental study based on Taguchi method, to develop the artificial neural network (ANN) model. In order to enhance the prediction capability of the proposed model, its architecture is tuned by SA algorithm. Next, the developed model is embedded into SA algorithm to determine the best set of process parameters values for an optimal set of outputs. Experimental results indicate that the proposed optimisation procedure is quite efficient in modelling and optimisation of EDM process parameters. [Received 25 January 2015; Revised 12 April 2015; Accepted 3 May 2015]
{"title":"An optimised back propagation neural network approach and simulated annealing algorithm towards optimisation of EDM process parameters","authors":"M. A. Moghaddam, F. Kolahan","doi":"10.1504/IJMR.2015.071616","DOIUrl":"https://doi.org/10.1504/IJMR.2015.071616","url":null,"abstract":"The present research addresses the multi-criteria modelling and optimisation of electrical discharge machining (EDM) process, via optimised back propagation neural networks (OBPNN) and simulated annealing (SA) algorithm. The process response characteristics considered are material removal rate, surface roughness, and tool wear rate. The process input parameters include voltage, peak current, pulse off time, and pulse on time and duty factor. The three performance characteristics are combined into a single objective using weighted normalised grades (WNG) obtained from experimental study based on Taguchi method, to develop the artificial neural network (ANN) model. In order to enhance the prediction capability of the proposed model, its architecture is tuned by SA algorithm. Next, the developed model is embedded into SA algorithm to determine the best set of process parameters values for an optimal set of outputs. Experimental results indicate that the proposed optimisation procedure is quite efficient in modelling and optimisation of EDM process parameters. [Received 25 January 2015; Revised 12 April 2015; Accepted 3 May 2015]","PeriodicalId":154059,"journal":{"name":"Int. J. Manuf. Res.","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115367542","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-09-07DOI: 10.1504/IJMR.2015.071621
L. Geng, Y. Zhang
This paper addresses the issues of tool-path smoothness and tool-path length (machining efficiency) in the generation of cutter location (CL) paths of 5-axis point milling of sculptured surfaces. In the proposed method, the joint movement between two neighbouring CLs in the machine frame is used to measure the tool-path smoothness and the cutting strip-width to measure tool-path length. In order to generate tool-paths with satisfactory smoothness and good efficiency, two approaches are proposed: 1) a fast repairing approach that modifies CL segments with drastic joint movement; 2) a holistic optimisation approach that considers both objectives simultaneously. For both approaches, corresponding algorithms based on evolutionary algorithms (EAs) have been developed to search for the best posture sequence for the CLs on each path. A case study is presented to show the performance comparison between the two approaches. [Received 18 August 14; Revised 30 April 5; Accepted 18 May 2015]
{"title":"Generation of kinematic smooth tool-paths in 5-axis milling of sculptured surfaces","authors":"L. Geng, Y. Zhang","doi":"10.1504/IJMR.2015.071621","DOIUrl":"https://doi.org/10.1504/IJMR.2015.071621","url":null,"abstract":"This paper addresses the issues of tool-path smoothness and tool-path length (machining efficiency) in the generation of cutter location (CL) paths of 5-axis point milling of sculptured surfaces. In the proposed method, the joint movement between two neighbouring CLs in the machine frame is used to measure the tool-path smoothness and the cutting strip-width to measure tool-path length. In order to generate tool-paths with satisfactory smoothness and good efficiency, two approaches are proposed: 1) a fast repairing approach that modifies CL segments with drastic joint movement; 2) a holistic optimisation approach that considers both objectives simultaneously. For both approaches, corresponding algorithms based on evolutionary algorithms (EAs) have been developed to search for the best posture sequence for the CLs on each path. A case study is presented to show the performance comparison between the two approaches. [Received 18 August 14; Revised 30 April 5; Accepted 18 May 2015]","PeriodicalId":154059,"journal":{"name":"Int. J. Manuf. Res.","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132938900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-06-02DOI: 10.1504/IJMR.2015.069715
Shady S. Elmasry, A. Youssef, M. Shalaby
This study presents a system dynamics approach to model and analyse a single stage reconfigurable manufacturing system (RMS). The system is exposed to a random demand that follow a normal distribution. New modifications to the existing state of the art capacity scaling model are applied to bring it closer to reality. A module to account capacity scaling costs and a module for considering seasonal demand are introduced. The objective of this study is to evaluate the performance of different capacity scaling policies for various system scenarios. Experimentations are applied on three stages; preliminary experimentation, Taguchi fractional factorial design, and 24 full factorial design to conduct various system scenarios. Two policy selection rules are produced to help a practitioner in deciding the best scaling policy according to the existing system scenario. The results showed that chasing demand policy and inventory-based policy have the best performance for most system scenarios. [Received 13 March 2014; Revised 26 November 2014; Accepted 26 January 2015]
{"title":"A cost-based model to select best capacity scaling policy for reconfigurable manufacturing systems","authors":"Shady S. Elmasry, A. Youssef, M. Shalaby","doi":"10.1504/IJMR.2015.069715","DOIUrl":"https://doi.org/10.1504/IJMR.2015.069715","url":null,"abstract":"This study presents a system dynamics approach to model and analyse a single stage reconfigurable manufacturing system (RMS). The system is exposed to a random demand that follow a normal distribution. New modifications to the existing state of the art capacity scaling model are applied to bring it closer to reality. A module to account capacity scaling costs and a module for considering seasonal demand are introduced. The objective of this study is to evaluate the performance of different capacity scaling policies for various system scenarios. Experimentations are applied on three stages; preliminary experimentation, Taguchi fractional factorial design, and 24 full factorial design to conduct various system scenarios. Two policy selection rules are produced to help a practitioner in deciding the best scaling policy according to the existing system scenario. The results showed that chasing demand policy and inventory-based policy have the best performance for most system scenarios. [Received 13 March 2014; Revised 26 November 2014; Accepted 26 January 2015]","PeriodicalId":154059,"journal":{"name":"Int. J. Manuf. Res.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130897640","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-06-02DOI: 10.1504/IJMR.2015.069686
Zhehan Chen, Fuzhou Du, Xiaoqing Tang, Xi Zhang
Wide employments of large scale digital metrologies have promoted the development of digital aircraft assembly technologies, which are changing traditional processes of wing-fuselage alignment to high precision and more efficient digital alignment based on measurement assisted assembly (MAA). MAA is a systematic technique and relies on the integration of digital measurement with assembly process, which is not only the integration of operations, but also data fusion and propagation from product design, through digital inspection to components assembly. In order to direct and support the applications of advanced approaches in MAA for wing-fuselage alignment, a novel framework of measurement assisted assembly methodology is proposed to realise the process integration and data fusion based on key measurement characteristics (KMCs). Firstly, definition, classification and mathematical model of KMCs are presented; then, the framework is constructed on the basis of integrated process model, measurement data model and data process kernel. Finally, a case of wing-fuselage alignment simulation is carried out to illuminate the application of measurement assisted assembly technique with the framework. [Received 28 April 2013; Revised 25 February 2014; Accepted 26 April 2014]
{"title":"A framework of measurement assisted assembly for wing-fuselage alignment based on key measurement characteristics","authors":"Zhehan Chen, Fuzhou Du, Xiaoqing Tang, Xi Zhang","doi":"10.1504/IJMR.2015.069686","DOIUrl":"https://doi.org/10.1504/IJMR.2015.069686","url":null,"abstract":"Wide employments of large scale digital metrologies have promoted the development of digital aircraft assembly technologies, which are changing traditional processes of wing-fuselage alignment to high precision and more efficient digital alignment based on measurement assisted assembly (MAA). MAA is a systematic technique and relies on the integration of digital measurement with assembly process, which is not only the integration of operations, but also data fusion and propagation from product design, through digital inspection to components assembly. In order to direct and support the applications of advanced approaches in MAA for wing-fuselage alignment, a novel framework of measurement assisted assembly methodology is proposed to realise the process integration and data fusion based on key measurement characteristics (KMCs). Firstly, definition, classification and mathematical model of KMCs are presented; then, the framework is constructed on the basis of integrated process model, measurement data model and data process kernel. Finally, a case of wing-fuselage alignment simulation is carried out to illuminate the application of measurement assisted assembly technique with the framework. [Received 28 April 2013; Revised 25 February 2014; Accepted 26 April 2014]","PeriodicalId":154059,"journal":{"name":"Int. J. Manuf. Res.","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132395140","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-06-02DOI: 10.1504/IJMR.2015.069716
C. Yue, Xianli Liu, Chunbin Cai, Mingming Yu
In traditional finite element method (FEM) simulation model of cutting process, settings of material parameters and boundary conditions take up a lot of time. The optimal cutting parameters are not easily obtained by simulation results; also the target of solution process is blind. Based on optimisation theory and secondary development of finite element software, in this research, a parametric model is established by combining python with Abaqus for PCBN tool cutting steel orthogonally. Numerical values of tool angle, tool size, workpiece size and process can be set in the interface of two-dimensional model in a parameterised way. By combining Abaqus and Isight, the average value of cutting force and highest value of cutting temperature could be extracted from the simulation model automatically. To get the minimum of cutting force and temperature under the selected parameter, the model takes cutting feed and speed as design variables to optimise. Under experimental validation, the precision of optimisation results is acceptable. This research result lays a foundation for establishment of high efficiency and high accuracy FEM simulation model. Also, it provides a feasible and effective way for the optimisation of cutting parameters and development of new tools. [Received 09 November 2014; Revised 09 February 2015; Accepted 14 February 2015]
{"title":"Parametric modelling and automatic optimisation of high-speed hard cutting process","authors":"C. Yue, Xianli Liu, Chunbin Cai, Mingming Yu","doi":"10.1504/IJMR.2015.069716","DOIUrl":"https://doi.org/10.1504/IJMR.2015.069716","url":null,"abstract":"In traditional finite element method (FEM) simulation model of cutting process, settings of material parameters and boundary conditions take up a lot of time. The optimal cutting parameters are not easily obtained by simulation results; also the target of solution process is blind. Based on optimisation theory and secondary development of finite element software, in this research, a parametric model is established by combining python with Abaqus for PCBN tool cutting steel orthogonally. Numerical values of tool angle, tool size, workpiece size and process can be set in the interface of two-dimensional model in a parameterised way. By combining Abaqus and Isight, the average value of cutting force and highest value of cutting temperature could be extracted from the simulation model automatically. To get the minimum of cutting force and temperature under the selected parameter, the model takes cutting feed and speed as design variables to optimise. Under experimental validation, the precision of optimisation results is acceptable. This research result lays a foundation for establishment of high efficiency and high accuracy FEM simulation model. Also, it provides a feasible and effective way for the optimisation of cutting parameters and development of new tools. [Received 09 November 2014; Revised 09 February 2015; Accepted 14 February 2015]","PeriodicalId":154059,"journal":{"name":"Int. J. Manuf. Res.","volume":"56 1-2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114135671","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-06-02DOI: 10.1504/IJMR.2015.069706
Siying Ling, Peng Qin, Liding Wang
Higher gear-grinding accuracy can be obtained by using a flat-faced grinding wheel (FGW) and a generating method. However, the phenomenon of interfering with the adjacent tooth will happen when an unsuitable outer-edge width of the FGW is dressed. In order to optimise the shape of the FGW and further improve its rigidity and grinding accuracy, studies on the relative motion trajectory of the FGW, the correlations of the maximum outer-edge width (wmax) with the head frame setting angle (HSA, αy) and the adjustment quantity (E) in the feed direction were conducted. Finally a motion simulation and a grinding experiment verified the reasonability of the mathematical model and several improved measures to achieve interference free and rigid gear grinding were obtained. The results have important significances on formulation of scientific ultra-precision gear-grinding processes. [Received 23 February 2014; Revised 23 October 2014; Accepted 02 December 2014]
{"title":"Dimensional optimisation of the flat-faced grinding wheel to achieve interference free and rigid gear grinding","authors":"Siying Ling, Peng Qin, Liding Wang","doi":"10.1504/IJMR.2015.069706","DOIUrl":"https://doi.org/10.1504/IJMR.2015.069706","url":null,"abstract":"Higher gear-grinding accuracy can be obtained by using a flat-faced grinding wheel (FGW) and a generating method. However, the phenomenon of interfering with the adjacent tooth will happen when an unsuitable outer-edge width of the FGW is dressed. In order to optimise the shape of the FGW and further improve its rigidity and grinding accuracy, studies on the relative motion trajectory of the FGW, the correlations of the maximum outer-edge width (wmax) with the head frame setting angle (HSA, αy) and the adjustment quantity (E) in the feed direction were conducted. Finally a motion simulation and a grinding experiment verified the reasonability of the mathematical model and several improved measures to achieve interference free and rigid gear grinding were obtained. The results have important significances on formulation of scientific ultra-precision gear-grinding processes. [Received 23 February 2014; Revised 23 October 2014; Accepted 02 December 2014]","PeriodicalId":154059,"journal":{"name":"Int. J. Manuf. Res.","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126677114","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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