F. C. Magalhães, C. Ventura, A. Abrão, B. Denkena, B. Breidenstein, K. Meyer
{"title":"Prediction of surface residual stress and hardness induced by ball burnishing through neural networks","authors":"F. C. Magalhães, C. Ventura, A. Abrão, B. Denkena, B. Breidenstein, K. Meyer","doi":"10.1504/IJMR.2019.10014339","DOIUrl":"https://doi.org/10.1504/IJMR.2019.10014339","url":null,"abstract":"Ball burnishing is a mechanical surface treatment used for surface finish improvement, surface work hardening and inducement of compressive residual stresses, nevertheless, a great level of interaction is observed among the most relevant factors. Within this scenario, artificial neural networks can be employed to determine the most recommended input parameters in order to achieve the required outcome. In this work, burnishing tests were performed using annealed and hardened AISI 1060 steel specimens and the obtained surface residual stress and hardness values were used to train an artificial neural network. The experimental results showed a nonlinear relationship between the input and output parameters for annealed AISI 1060 steel and support the applicability of artificial neural networks for the burnishing process, whereas a more linear relationship between the input and output parameters was observed for hardened AISI 1060 steel, though burnishing pressure seems to be the most relevant factor affecting residual stress. The artificial neural network and optimisation procedure provided consistent input parameters, thus leading to the inducement of compressive residual stress of higher intensity. [Submitted 29 November 2017; Accepted 26 May 2018]","PeriodicalId":154059,"journal":{"name":"Int. J. Manuf. Res.","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126533787","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}
{"title":"Discrete cuckoo search algorithm for solving the cell formation problem","authors":"Bouchra Karoum, Y. Elbenani","doi":"10.1504/IJMR.2019.10014336","DOIUrl":"https://doi.org/10.1504/IJMR.2019.10014336","url":null,"abstract":"The manufacturing cell formation problem is considered one of the first issues in the designing of cellular manufacturing systems, that attempts to construct a set of machine cells and their corresponding product families. The aim is to minimise the inter-cell movements of the products while maximising the machine utilisation. Recently developed cuckoo search algorithm is introduced in this paper to solve this kind of problems which is discrete in nature. The proposed method is combined with a local search mechanism in order to intensify the search and improve the quality of the solutions. In order to demonstrate the effectiveness of the proposed algorithm, a set of 35 benchmark problems is used; the results are then compared to different methods collected from the literature. The results demonstrate that the proposed algorithm is a very effective and performs well on all test problems since it can reach 32 out of 35 benchmark problems (91.43%). [Submitted 21 June 2017; Accepted 3 May 2018]","PeriodicalId":154059,"journal":{"name":"Int. J. Manuf. Res.","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123802339","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}
{"title":"Development of semi empirical model on material removal rate in WEDM process for aluminium metal matrix material using dimensional analysis","authors":"J. Patel, K. Maniya","doi":"10.1504/IJMR.2019.10018363","DOIUrl":"https://doi.org/10.1504/IJMR.2019.10018363","url":null,"abstract":"Wire electrical discharge machining is a non-conventional process for manufacturing complicated and intricate parts. In this paper, dimensional analysis and nonlinear estimation method Quassi Newton was used to established semi empirical model for various aluminium metal matrix material considering pulse on time, wire diameter, peak current and various materials properties likes density, thermal conductivity, electrical conductivity, specific heat capacity, coefficient of thermal expansion, melting temperature, and latent heat of fusion as model parameter. Taguchi L27 orthogonal array were used to perform the experiment for aluminium metal matrix. Semi empirical model shows more than 99% prediction than experiment data. Constant and power indices value of model shows wire diameter, peak current, pulse on time and work material properties such as thermal expansion of coefficient and melting point temperature are significant parameters for material removal rate. [Submitted 26 August 2017; Accepted 2 April 2018]","PeriodicalId":154059,"journal":{"name":"Int. J. Manuf. Res.","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116714090","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}
{"title":"Statistical investigation of surface roughness and kerf on wire electrical discharge machining performance","authors":"J. Pujara, K. Kothari, A. V. Gohil","doi":"10.1504/IJMR.2019.10014337","DOIUrl":"https://doi.org/10.1504/IJMR.2019.10014337","url":null,"abstract":"This paper describes statistical investigation to optimise the process variables such as pulse duration (pulse on), pulse period (time between pulses), and peak current that affects the output response surface roughness (SR) and kerf (k) on WEDM through grey relational analysis (GRA). Taguchi L16 design matrix has been used to carry out the experimental work. Response surface methodology (RSM) is used to develop the empirical models from the experimental data. Analysis of variance (ANOVA) is used to check the adequacy of the developed models. Based on statistical analysis, it has been found that peak current and pulse off time has a positive influence on SR while pulse on time has a negative influence, as well as peak current and pulse on time, has a negative influence on kerf while pulse off time has a positive influence. Confirmation test shows the application of the optimisation technique for predicting optimum conditions to obtain better output responses. [Submitted 27 January 2018; Accepted 10 May 2018]","PeriodicalId":154059,"journal":{"name":"Int. J. Manuf. Res.","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124003892","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}
{"title":"Analytical modelling and experimental study of machining of smart materials using submerged abrasive waterjet micromachining process","authors":"Anurag Mahajan, Sagil James","doi":"10.1504/IJMR.2019.10014338","DOIUrl":"https://doi.org/10.1504/IJMR.2019.10014338","url":null,"abstract":"Smart materials are new generation materials which possess great properties to mend themselves with a change in environment. Manufacturing of these materials is a huge challenge, particularly at micron scale due to their superior mechanical properties such as high hardness, high compressive strength and chemical inertness. This research investigates submerged abrasive waterjet micromachining (SAWJMM) process for machining smart ceramic materials. The research also involves experimental study on micromachining of smart materials using an in-house fabricated SAWJMM setup. The study found that SAWJMM process is capable of successfully machining smart materials including shape memory alloys and piezoelectric materials at the micron scale. An analytical predictive model is developed to estimate the MRR during SAWJMM process and the model is found to be capable of accurately predicting the machining results within 10% error. [Submitted 14 January 2018; Accepted 26 May 2018]","PeriodicalId":154059,"journal":{"name":"Int. J. Manuf. Res.","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130413641","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}
{"title":"Using of least square and fuzzy logic methods to estimate the cutting forces for a new tool in machining of SAE 4140","authors":"Aydin Salimiasl, M. Shalvandi, E. Seidi","doi":"10.1504/IJMR.2019.10019976","DOIUrl":"https://doi.org/10.1504/IJMR.2019.10019976","url":null,"abstract":"In this paper, analytical-empirical and fuzzy logic-based models were created to predict the cutting forces in turning process for a new tool. A dynamometer that measure static cutting forces was used for measuring the forces. AISI 4140 steel was used as the work piece material for conducting the experiments due to its most common applications in machining process industry. Cutting force, thrust force and radial force were measured for three combinations of cutting speeds (V), cutting feeds (f) and cutting depths (d). Full factorial method was used to design the experiments. For developing the analytical model, the least square (LS) method was used to estimate the model constants. Experimental results were compared with the predicted results for both of the developed models. The comparing results show the efficiency of the both developed models. However, the results confirm that the accuracy of the fuzzy model is much higher than the analytical model in prediction of the cutting forces. [Submitted 30 May 2017; Accepted 26 May 2018]","PeriodicalId":154059,"journal":{"name":"Int. J. Manuf. Res.","volume":"79 11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126931579","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}
{"title":"On the quality of unsupported overhangs produced by laser powder bed fusion","authors":"Gabriele Piscopo, A. Salmi, E. Atzeni","doi":"10.1504/IJMR.2019.100012","DOIUrl":"https://doi.org/10.1504/IJMR.2019.100012","url":null,"abstract":"One of the main design constraints for additive manufacturing is the definition of downward-facing surfaces, which can lead to problems, like part failing or warping, during construction and poor surface quality. In this paper, a specific index has been defined to represent the surface quality of the downward-facing surfaces induced by the laser powder bed fusion (L-PBF) process. In order to validate the quality index, a design of experiment (DoE) that considers geometric parameters of the overhangs has been defined and carried out, and the quality of resulting surfaces has been evaluated using an optical scanning system. The statistical analysis (ANOVA) has allowed identifying the relationships between significant geometrical parameters and the quality index here proposed. [Submitted 5 April 2018; Accepted 27 August 2018]","PeriodicalId":154059,"journal":{"name":"Int. J. Manuf. Res.","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126265270","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}
{"title":"An interference-and-chatter-free tool orientation planning method for five-axis NC machining","authors":"Xiaonan Pu, X. Liu, Sisheng Yang, Xiang Ling","doi":"10.1504/IJMR.2019.10020607","DOIUrl":"https://doi.org/10.1504/IJMR.2019.10020607","url":null,"abstract":"Five-axis machine tools are widely applied in machining parts with complex structure or geometric shape because of the two additional rotary axes. Meanwhile, the solution space of the tool orientations is significantly enlarged. Interference is considered in most traditional methods to compute feasible tool orientation space. However, since the surface quality requirements keep increasing, machining stability should be seriously confirmed. This paper proposes a new tool orientation planning method by considering both interference and chatter avoidance. Interference-free tool orientation space is first computed at each cutter location point (CLP). Then the machining stability is evaluated to eliminate the tool orientations leading to machining chatter from the interference-free tool orientation space. Based on this interference-and-chatter-free tool orientation space, a tool orientation smoothing strategy is implemented. The proposed method is tested by two cases and the experimental comparison results show that interference and chatter avoidance can be achieved. [Submitted 26 January 2018; Accepted 27 March 2018]","PeriodicalId":154059,"journal":{"name":"Int. J. Manuf. Res.","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132554557","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}
Xiaohong Lu, Zhenyuan Jia, Hua Wang, Yixuan Feng, S. Liang
{"title":"Strain hardening properties and the relationship between strain and hardness of Inconel 718","authors":"Xiaohong Lu, Zhenyuan Jia, Hua Wang, Yixuan Feng, S. Liang","doi":"10.1504/IJMR.2018.10011152","DOIUrl":"https://doi.org/10.1504/IJMR.2018.10011152","url":null,"abstract":"In micro-milling of Inconel 718, work hardening occurs and the strain hardening properties as well as the relationship between strain and hardness of Inconel 718 remain unclear. The quasi-static tensile tests are conducted in this paper. Through the experiments, the strength coefficient K and the strain-hardening exponent n in Hollomon formula, which describes the relationship between strain and stress of a material, are calculated. After the measurements of the micro-hardness of Inconel 718 under different plastic deformations, the relationship between micro-hardness and strain of Inconel 718 is established. This relationship is valuable in computation of the hardness based on the stress state of Inconel 718 and it also extends the application of the commercial finite element analysis software such as ABAQUS, since it tracks stress state but cannot acquire the hardness of the machined surface. The proposed equation then calculates the hardness value based on the simulation output of stress in the software. [Submitted 18 July 2017; Accepted 28 November 2017]","PeriodicalId":154059,"journal":{"name":"Int. J. Manuf. Res.","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131189933","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}
{"title":"Investigation on surface roughness and sub-surface damage in ISF","authors":"Yicun Meng, Shengpu Liu","doi":"10.1504/IJMR.2018.10012022","DOIUrl":"https://doi.org/10.1504/IJMR.2018.10012022","url":null,"abstract":"Incremental sheet forming is a potential technology in future manufacturing. However, the surface roughness increases during the process can limit the geometric accuracy and alter the mechanical properties of the product. The paper presents an extensive experimental investigation on the relevance between the surface roughness and sheet thickness using the two points incremental forming and an optical microscopy analysis the microstructure change in the sheet material during forming. Firstly, aluminium alloy sheets with different thickness were formed into a benchmark shape. Then the measurements of sheet thickness and wall angles were carried out to reveal the effects on the surface roughness that is further related to the mechanical properties. Finally, the microstructure of the sheets prior and after forming was investigated under microscope, considering the influence of grain size and clad layer. It is shown that a large wall angle leads to a worse surface finish. However, there was no direct relationship found between sheet thickness and surface roughness. Through the microstructure observation of processing sheets, it is found that the bounding of the clad layer remained intact and the deformation is constrained within the clad layer. [Submitted 19 March 2017; Accepted 7 October 2017]","PeriodicalId":154059,"journal":{"name":"Int. J. Manuf. Res.","volume":"165 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124621027","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}