Academic literature on the topic 'Experimental analysis of carbon-steel machining'

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Journal articles on the topic "Experimental analysis of carbon-steel machining"

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Gostimirović, Marin, Dragan Rodić, Milenko Sekulić, and Andjelko Aleksić. "An Experimental Analysis of Cutting Quality in Plasma Arc Machining." Advanced Technologies & Materials 45, no. 1 (October 1, 2020): 1–8. http://dx.doi.org/10.24867/atm-2020-1-001.

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Plasma arc cutting (PAC) is an unconventional process widely used in manufacturing of heavy plate products. This work reports on the research results of machining quality of the workpiece in the plasma arc cutting on the low carbon low alloy steel. An experimental investigation of the characteristics of machining accuracy and surface integrity was carried out for basic machining parameters (cutting speed, arc current, arc voltage, plasma gas pressure, stand-off distance and nozzle diameter). The kerf geometry was determined with three accuracy parameters (top kerf width, bottom kerf width and kerf taper angle). The parameters of deviation present due to plasma curvature were defined by drag and pitch of drag line. The surface roughness was determined with two main roughness parameters through scanning the surface topography (roughness average and maximum height of the profile). The surface properties were determined over microstructure in heat affected zone (HAZ). The results show an acceptable machining quality of the PAC, so that this process is an excellent choice for fast and efficient material removal. However, the plasma arc cutting is not suitable for the final machining because of the metallurgical variations in the HAZ.
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Singh, Kanwal Jeet, Inderpreet Singh Ahuja, and Jatinder Kapoor. "Experimental Investigation and Study the Effect of Hydro Fluoric Acid in Ultrasonic Machining of Polycarbonate Bullet Proof UL-752 and Acrylic Heat Resistant BS-476 Glass." Advanced Engineering Forum 24 (October 2017): 24–39. http://dx.doi.org/10.4028/www.scientific.net/aef.24.24.

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The main objective of this experimental work is to study the effect of Hydro Fluoric acid in ultrasonic machining of polycarbonate bullet proof UL-752 and Acrylic Heat resistant BS 476 Glass. In which, mixture of abrasive particle are also used as the input machining parameter. Three types of abrasive; Alumina, Silicon Carbide and Boron Carbide are used for machining. Experiment has been performed with 8mm of high carbon high chromium tool steel (D2), high carbon steel (HCS) and high speed tool steel (HSS) tools. The material removal rate was father enhanced by HF acid. The experimentation date represent the main effect plots for tool wear rate and material removal rate. After analysis, results reveals that Al2O3+SiC+B2C mixed slurry (1:1:1), Hydro Fluoric acid with 1% concentration and High Speed tool Steel material produce the higher material removal affect.
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Kumar, Sandeep, Bedasruti Mitra, and Naresh Kumar. "Application of GRA method for multi-objective optimization of roller burnishing process parameters using a carbide tool on high carbon steel (AISI-1040)." Grey Systems: Theory and Application 9, no. 4 (October 14, 2019): 449–63. http://dx.doi.org/10.1108/gs-03-2019-0006.

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Purpose The purpose of this paper is to analyze and optimize the roller burnishing process parameters using the design of experiments and grey relational analysis (GRA). Design/methodology/approach In this experimental work, the carbide burnishing tool has been selected for the machining of AISI-1040 high carbon steel to get better product quality and satisfactory machining characteristics. The material surface condition while machining, burnishing tool speed, feed rate, depth of penetration and No. of passes have been selected as process constraints to conduct experimental trials. Findings The surface roughness (SR) and surface hardness were considered as output responses. The experimental outcomes optimized by multi-parametric optimization showed considerable improvement in the process. The roller speed and number of passes are the most significant parameters for surface hardness, whereas the surface condition and roller penetration depth have the most significance on SR. Research limitations/implications The GRA method shows the 0.03376 improvement in grey relational grade between the experimental values and the predicted values. Practical implications The experimental outcomes optimized by multi-parametric optimization showed the considerable improvement in the process and will facilitate steel industries to enhance and improve productivity while burnishing high carbon steel (AISI-1040). Originality/value This research represents valid work, and the authors have no conflict of interests.
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Agarwal, A., M. T. Letsatsi, O. M. Seretse, and R. Marumo. "Experimental thermal analysis and modelling of single point lathe cutting tools without cooling effect." International Journal of Engineering & Technology 7, no. 2 (March 13, 2018): 276. http://dx.doi.org/10.14419/ijet.v7i2.9788.

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This study investigated the use of tungsten carbide tool and high speed steel (HSS) tool when machining aluminum and mild steel. The parameters such as feed and speed of rotation were varied in order to observe their effect on machining operation. The experiments were performed without a coolant. FLIR thermo Cam P60 and Infra-Red Camera were used to record the observations. The highest temperature were recorded when feed rate was 2 mm. A comparison of experiments shows that HSS tooling produced high temperatures when machining mild steel. At 625 rev/min HSS failed when cutting mild steel at 2 mm feed rate. It was generally observed that temperatures generated between a tool and work piece is a function of feed rate, speed of rotation and tool material. These observations can aid the selection of a tool before a machining operation.
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Ramji, B. R., H. N. Narasimha Murthy, and B. K. Deepak. "Performance Analysis of Cryogenically Treated HSS Profile Cutter by Experimental and FEA." Advanced Materials Research 816-817 (September 2013): 311–16. http://dx.doi.org/10.4028/www.scientific.net/amr.816-817.311.

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The main objective of the research was to study the effect of cryogenic treatment and double tempering on the tool life of HSS profile cutter in machining EN47 Spring Steel cutting tool components. TiAlN coated HSS profile cutters were cryogenically treated at-175 °C and double tempered at 200 °C. Milling exercises were carried out using un-treated and treated and double tempered tools on EN-47 spring steel reamer components at different machining conditions. The treated HSS profile cutter showed 40 % greater tool life than that of the un-treated in machining EN-47 spring steel components for making flutes. FEA for temperature profile of the cutting tools of the treated and non-treated was performed. Tool tip temperature for untreated and treated were found to be 22 °C and 20 °C respectively.
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Singh, Kanwal Jit. "Optimization of process parameters of powder mixed EDM for high carbon high chromium alloy steel (D2 steel) through GRA approach." Grey Systems: Theory and Application 8, no. 4 (October 8, 2018): 388–98. http://dx.doi.org/10.1108/gs-01-2018-0001.

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Purpose The purpose of this paper is to investigate the process parameters and optimise the machining input parameter of powder mixed electric discharge machining for high carbon high chromium alloy steel (D2 steel) for the industrial application. Grey relational analysis approach has been used to obtain the multiple performance output response. Design/methodology/approach In this experimental work, input parameters, namely, pulse on-time, discharge current, tool material and grit size, are selected. The design of the experiment has been constructed with the help of MINITAB 7 Software, in which L16 orthogonal array has been preferred for the experimentation. The effect of input parameters, namely, material removal rate, tool wear rate and surface roughness, is investigated. Grey relational analysis and analysis of variance are performed to optimise the input parameters and better output results. Findings In this experimentation, there is an increment of tool wear rate by 64.49 per cent, material removal rate by 47.14 per cent and surface roughness by 35.82 per cent. Practical implications A lot of practical applications have been found in many different material processing industries like metallurgy, machinery, electronics, transportation, military science, agricultural machinery, etc. These practical applications have brought forward definite and noticeable economic benefits. Originality/value The reader is given a general overview on the machining investigation and optimisation of processes parameters through the grey theory approach. It gives a new framework to investigate the problems where multiple input machining variable and various output responses are obtained in single optimised parameters.
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Teixidor, Daniel, I. Ferrer, and Joaquim de Ciurana. "Experimental Analysis of Laser Micro-Machining Process Parameters." Materials Science Forum 713 (February 2012): 67–72. http://dx.doi.org/10.4028/www.scientific.net/msf.713.67.

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This paper reports the characterization of laser machining (milling) process to manufacture micro-channels in order to understand the incidence of process parameters on the final features. Selection of process operational parameters is highly critical for successful laser micromachining. A set of designed experiments is carried out in a pulsed Nd:YAG laser system using AISI H13 hardened tool steel as work material. Several micro-channels have been manufactured as micro-mold cavities varying different process parameter. Results are obtained by evaluating the dimensions and the surface finish of the micro-channel. The dimensions and shape of the micro-channels produced with laser-micro-milling process exhibit variations. In general the use of low scanning speeds increases the quality of the feature in both surface finishing and dimensional.
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Krishna Sastry, K. V., V. Seshagiri Rao, M. S. Kumar, and A. Velayudham. "Experimental Analysis of Hole Ovality in Drilling of Carbon-Carbon Composites." Applied Mechanics and Materials 592-594 (July 2014): 294–301. http://dx.doi.org/10.4028/www.scientific.net/amm.592-594.294.

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The Carbon-Carbon (C-C) composite materials are logical candidates for the manufacture of space crafts and other advanced structures, due to their low density values. These materials are naturally expensive, and the machining cost increases the final product’s price. The literature availability on the machining, particularly with reference to drilling operation of these materials is very rare. Hence an experimental investigation has taken to study the hole quality of this ubiquitous carbon-carbon composite material. This paper presents a comprehensive analysis about the influence of process parameters on the ovality of the carbon-Carbon composite plate, which is measured with a coordinate measuring machine. The drilling experiments were carried with two different tools like HSS and TiN coated Carbide materials on a CNC drilling machine. The Point Angle, spindle speed and feed rate were chosen as process parameters, and their impact on the quality of drilled hole was analyzed with the help of Taguchi’s orthogonal array and ANOVA-TM software. A comparison was done between the performances of drilling by these two different tools.
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Rajmohan, T., S. D. Sathishkumar, K. Palanikumar, and S. Ranganathan. "Modeling and Analysis of Cutting Force in Turning of AISI 316L Stainless Steel (SS) under Nano Cutting Environment." Applied Mechanics and Materials 766-767 (June 2015): 949–55. http://dx.doi.org/10.4028/www.scientific.net/amm.766-767.949.

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Nano Cutting fluids play a significant role in machining operations and impact shop productivity, tool life and quality of work. In the present work, machining performance of AISI 316L Stainless steel (SS) is assessed under nano cutting environment. Experiments are performed by plain turning of 80mm diameter and 300mm long rod of AISI 316L SS on NAGMAT centre lathe under wet machining with and without Multi Wall Carbon nano Tubes (MWCNT) inclusions in the conventional lubricant. The Second order quadratic models were developed to predict cutting forces using response surface methodology (RSM) based D-optimal design. Machining parameters such as speed, feed rate and depth of cut are chosen as numerical factor, and the wt % of MWCNT content is considered as the categorical factor. Furthermore, using analysis of variance method, significant contributions of process parameters have been determined. Experimental results reveal that wt % of MWCNT and feed rate are the dominant variables on responses.
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Hamood, Sami A., and Vian N. Najm. "Optimization of Plasma Cutting Parameters on Dimensional Accuracy and Machining Time for Low Carbon Steel." Engineering and Technology Journal 38, no. 8A (August 25, 2020): 1160–68. http://dx.doi.org/10.30684/etj.v38i8a.1151.

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This work aims to study the influence of plasma arc cutting parameters on dimensional accuracy and machining time for mild steel (1010) material with the thickness (4 mm). Selected three cutting parameters (arc current, cutting speed, and arc distance) or the experimental work. 12 tests have been performed at each test one parameter has been changed with four various levels and other parameters are constant. The influence of the cutting parameters on response results (dimensional accuracy and machining time) have been studied and analyzed by using response surface methodology (RSM) using the second-order model and main effect plot have been generated of each parameter on response results by using ANOVA depended on results of response surface analysis. The results of the response surface analysis showed that the important influencing parameters on dimensional accuracy were cutting speed and arc current as well as on deviation of dimensional accuracy, and the machining time is further affected with the current more than the cutting speed and the standoff distance. The outcomes of response surface analysis showed that the optimal setting of the cutting parameters to obtain at high dimensional accuracy were (arc current= 110 A, cutting speed = 4000 m/min, arc distance = 2mm) and to obtain on less machining time was (arc current= 110 A, cutting speed = 4000 m/min, arc distance = 5mm).
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Dissertations / Theses on the topic "Experimental analysis of carbon-steel machining"

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SOUZA, CLARISSA FERREIRA MARTINS DE. "NUMERICAL AND EXPERIMENTAL ANALYSIS OF RESIDUAL STRESSES IN LOW CARBON STEEL WELDED JOINTS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2016. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=29707@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO
COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO
PROGRAMA DE SUPORTE À PÓS-GRADUAÇÃO DE INSTS. DE ENSINO
A soldagem é um processo de união de materiais que possui grande aplicação em diversos setores da indústria, como automotiva, óleo e gás, nuclear, naval, dentre outros. Dentre os fatores responsáveis pelo comprometimento da vida útil pós-soldagem de componentes mecânicos e estruturais se destacam as tensões residuais, cuja análise qualitativa e quantitativa é de extrema importância no projeto, na garantia da qualidade e prevenção de falhas de estruturas soldadas. No presente trabalho aplicou-se uma metodologia composta por análise numérica e experimental, que se complementaram. Chapas do aço AISI 1020 foram soldadas pelo processo Metal Active Gas (MAG), em um único passe. Os experimentos foram conduzidos com duas velocidades, visando avaliar a influência deste parâmetro sobre o nível das tensões residuais geradas. Na sequência, as tensões residuais foram analisadas por difração de raios-X. Simultaneamente, procedeu-se a análise numérica das tensões residuais, com o emprego do código comercial de elementos finitos ANSYS, através de um modelo sólido 3D, em análise não linear termo-elastoplástica, utilizando-se a técnica Birth and Death, ativando e desativando os elementos, à medida que o cordão de solda foi depositado. Parâmetros experimentais da soldagem, geometria das amostras, coeficiente de transmissão de calor, propriedades térmicas e mecânicas do material, que variam com a temperatura, foram utilizados como dados de entrada no modelo numérico. Por fim, realizou-se a comparação entre as tensões residuais determinadas experimentalmente por difração de raios-X e as calculadas numericamente pelo método de elementos finitos, observando-se uma boa concordância entre os resultados obtidos pelas duas metodologias.
Welding is a process of joining materials that have wide application in various industry sectors such as automotive, oil and gas, nuclear, naval, among others. Residual Stresses is often a cause of premature failure of critical components. The qualitative and quantitative analysis of residual stresses is extremely important in the design, on quality assurance and prevention of weldment failures. The objective of this study was developing a methodology that includes numerical and experimental analyses that are complementary. AISI 1020 steel samples were butt welded by GMAW process with weld metal in a single pass. Experiments were conducted at different heat source speeds in order to evaluate the influence of this parameter on the level of residual stresses generated. Subsequently, the samples were subjected to measurement of residual stress by diffraction X-ray method. Simultaneously, a numerical analysis of the residual stresses was performed with a commercial finite element software called ANSYS (17.0), and a 3D solid model for a nonlinear thermo-elastic-plastic analysis using the Birth and Death technique, where the elements are enabled and disabled along weld metal deposition. Experimental welding parameters such as geometry of the samples, heat transfer coefficients, thermal and mechanical properties which vary with temperature were used as input data in the numerical model. Finally, there was a comparison between the residual stresses determined experimentally by diffraction of X-rays and computed data by finite element method. A good agreement was observed between the two methods.
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Charlton, Peter Christopher. "theoretical and experimental study of the magnetic flux leakage method for the analysis of corrosion defects in carbon steel plate." Thesis, University of the West of England, Bristol, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.699795.

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Ypsilantis, Dominique. "Optimisation de la mise en precontrainte par pretorsionnage et grenaillage des barres de torsion en acier 45scd6." Paris, ENSAM, 1986. http://www.theses.fr/1986ENAM0007.

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Etude de l'optimisation des parametres intensite de grenaillage, couple de pretorsionnage, ordre d'execution du pretorsionnage et du grenaillage. Cette etude a ete conduite par des essais de fatigue, par analyse des contraintes residuelles, par diffraction rx et utilisation d'un critere de fatigue.
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Lee, Her-Rong, and 李和榮. "Experimental Analysis on Low Cycle Cumulative Fatigue of Pin Hole Effect for JIS S45C Carbon Steel." Thesis, 1995. http://ndltd.ncl.edu.tw/handle/20507163836887534165.

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Book chapters on the topic "Experimental analysis of carbon-steel machining"

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Sahoo, Sarat Kumar, Sunita Singh Naik, and Jaydev Rana. "Experimental Analysis of Wire EDM Process Parameters for Micromachining of High Carbon High Chromium Steel by Using MOORA Technique." In Micro and Nano Machining of Engineering Materials, 137–48. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99900-5_7.

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Saini, Ashutosh, and S. K. S. Yadav. "Machining of EN-31 Steel and Experimental Analysis of Various Process Parameters Using Minimum Quantity Lubrication." In Advances in Forming, Machining and Automation, 269–82. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9417-2_21.

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Trych, Anna. "Modelled and Experimental Analysis of Electrode Wear in Micro Electro Discharge Machining with Carbon Fibres." In Mechatronics, 739–45. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23244-2_89.

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Shetty, Gautam S., and Gajanan M. Naik. "Taguchi Experimental Design for Turning of AISI 4340 Steel and Grey Analysis on Machinability Parameters for Sustainable Machining." In Lecture Notes in Mechanical Engineering, 1–10. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2278-6_1.

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Kalincsak, Z., L. Balogh, L. Borbas, and J. Takacs. "Stress Analysis of Laser Marked Low Carbon Steel." In Experimental Analysis of Nano and Engineering Materials and Structures, 631–32. Dordrecht: Springer Netherlands, 2007. http://dx.doi.org/10.1007/978-1-4020-6239-1_313.

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Angelova, D., and R. Yordanova. "Modeling of Fatigue in a Low-Carbon Roller-Quenched Tempered Steel." In Experimental Analysis of Nano and Engineering Materials and Structures, 257–58. Dordrecht: Springer Netherlands, 2007. http://dx.doi.org/10.1007/978-1-4020-6239-1_127.

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Davidkov, A., and D. Angelova. "Effect of Corrosion Environment Activity on Fatigue in a Low-Carbon Steel." In Experimental Analysis of Nano and Engineering Materials and Structures, 259–60. Dordrecht: Springer Netherlands, 2007. http://dx.doi.org/10.1007/978-1-4020-6239-1_128.

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Anandha Moorthy, A., E. Prakash, S. Madheswaran, C. Sasikumar, M. Vairavel, and R. Girimurugan. "Experimental Investigations on Mechanical Properties and Morphological Analysis of Carbon Steel Grade III Leaf Spring Steel." In Springer Proceedings in Materials, 629–35. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8319-3_62.

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Ramesh, S., N. Vijayakumar, R. Viswanathan, and S. Saravanan. "Optimization of EDM Machining of High Carbon High Chromium Steel Using Zirconium and Nickel Powder Mixed Dielectric by Grey Relational Analysis." In Lecture Notes in Mechanical Engineering, 167–85. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2086-7_14.

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Roy, Supriyo, Kaushik Kumar, and J. Paulo Davim. "Optimization of Process Parameters Using Soft Computing Techniques." In Handbook of Research on Soft Computing and Nature-Inspired Algorithms, 177–220. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-2128-0.ch006.

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Machining of hard metals and alloys using Conventional machining involves increased demand of time, energy and cost. It causes tool wear resulting in loss of quality of the product. Non-conventional machining, on the other hand produces product with minimum time and at desired level of accuracy. In the present study, EN19 steel was machined using CNC Wire Electrical discharge machining with pre-defined process parameters. Material Removal Rate and Surface roughness were considered as responses for this study. The present optimization problem is single and as well as multi-response. Considering the complexities of this present problem, experimental data were generated and the results were analyzed by using Taguchi, Grey Relational Analysis and Weighted Principal Component Analysis under soft computing approach. Responses variances with the variation of process parameters were thoroughly studied and analyzed; also ‘best optimal values' were identified. The result shows an improvement in responses from mean to optimal values of process parameters.
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Conference papers on the topic "Experimental analysis of carbon-steel machining"

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Lam, Poh-Sang, Changmin Cheng, Yuh J. Chao, Robert L. Sindelar, Tina M. Stefek, and James B. Elder. "Stress Corrosion Cracking of Carbon Steel Weldments." In ASME 2005 Pressure Vessels and Piping Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/pvp2005-71327.

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An experiment was conducted to investigate the role of weld residual stress on stress corrosion cracking in welded carbon steel plates prototypic to those used for nuclear waste storage tanks. Carbon steel specimen plates were butt-joined with Gas Metal Arc Welding technique. Initial cracks (seed cracks) were machined across the weld and in the heat affected zone. These specimen plates were then submerged in a simulated high level radioactive waste chemistry environment. Stress corrosion cracking occurred in the as-welded plate but not in the stress-relieved duplicate. A detailed finite element analysis to simulate exactly the welding process was carried out, and the resulting temperature history was used to calculate the residual stress distribution in the plate for characterizing the observed stress corrosion cracking. It was shown that the cracking can be predicted for the through-thickness cracks perpendicular to the weld by comparing the experimental KISCC to the calculated stress intensity factors due to the welding residual stress. The predicted crack lengths agree reasonably well with the test data. The final crack lengths appear to be dependent on the details of welding and the sequence of machining the seed cracks, consistent with the prediction.
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Joslin, Andrew, Manuel Hernandez, Erick Deane, Schadrick Collins, Chengying Xu, and Don F. Wilson. "Experimental Setup for Multi-Sensor Fusion and Data Correlation Analysis During CNC Steel Turning Process." In ASME 2010 International Manufacturing Science and Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/msec2010-34308.

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This paper discusses a preliminary setup for an ongoing research project with goals of off-line modeling and optimization for a CNC turning process of AISI 4137 steel alloy; followed by online monitoring, optimization, and control of the machining process. A full factorial Design Of Experiment (DOE) of three machining parameter factors was created in Minitab™ and Analysis of Variance was performed, in order to determine which parameters influenced the machining process the most. Accelerometers, acoustic emission sensors and force sensors have given researchers insights into the relationships between mechanical vibration and tool condition during the turning process. Similarly, correlations have been recognized between electrical power consumption, machining forces, tool temperature, and tool condition. While monitoring the machining process with sophisticated force and acceleration sensors is effective, implementation in a large scale factory environment may not be an economical solution to online monitoring and control. Finding an ideal combination of sensors capable of monitoring significant factors that affect the CNC steel turning process will allow process optimization and reduce the cost of machining.
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Medellin, Hugo, Aaro´n Flores, Jorge Morales, and Alonso de la Garza. "Analysis of Electrical Discharge Machining Using Water as Dielectric and Diverse Electrode Materials." In ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/detc2008-49108.

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This paper presents an experimental investigation carried out to study the performance of electrical discharge machining (EDM) using water as dielectric. This experimentation was performed using different types of water as dielectric, several electrode materials and two different workpiece materials. The electrode materials used in the experimentation were bronze, brass, copper, aluminium and steel; and the workpiece materials used were ASTM A36 mild (low-carbon) steel and D-2 tool steel. A new desktop size EDM machine to perform the experiments was designed and is presented in this paper. After performing the experimentation, the results have shown that the best EDM performance is achieved with brass and bronze electrodes using a mixture of 75% tap and 25% deionised water as dielectric. The results also indicate that the material removal rate and the electrode wear are proportional to the source voltage used in the EDM process. Finally, a forming die with a complex shape used in a jewellery industry, was manufactured using the EDM system presented in this paper.
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Ng, Eu-gene, Tahany I. El-Wardany, Mihaela Dumitrescu, and Mohamed A. Elbestawi. "3D Finite Element Analysis for the High Speed Machining of Hardened Steel." In ASME 2002 International Mechanical Engineering Congress and Exposition. ASMEDC, 2002. http://dx.doi.org/10.1115/imece2002-33633.

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The objective of this research is to illustrate the importance of modeling the right/similar chip formation with experimental results. When machining ‘difficult to cut’ materials at high cutting speeds, segmented chips are usually formed. When modeling the cutting process, it is important to consider the type of chip formed, as this affects the stress field generated in the workpiece. The modeled chips have to be the same type as those obtained during experimental work. However very few published models were capable of modeling the 3D oblique cutting with segmented chip formation. This paper presents a finite element model that includes a user customized catastrophic slip criterion and crack propagation module to model segmented chip formation in orthogonal & oblique machining of hardened AISI 4340 steel (52±2 HRC). Predicted cutting forces and chip thickness for segmented chips were in close agreement with experimental data. The modeled plastic strain and temperature distribution/magnitude were very different for continuous and segmented chip formation.
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Vaxevanidis, N. M., N. I. Galanis, G. P. Petropoulos, N. Karalis, P. Vasilakakos, and J. Sideris. "Surface Roughness Analysis in High Speed-Dry Turning of a Tool Steel." In ASME 2010 10th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2010. http://dx.doi.org/10.1115/esda2010-24811.

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High-speed machining is widely applied for the processing of lightweight materials and also structural and tool steels. These materials are intensively used in the aerospace and the automotive industries. The advantages of high-speed machining lie not only in the speed of machining (lower costs and higher productivity) but also in attaining higher surface quality (prescribed surface roughness without surface defects). Based on this concept, in the present paper the high speed-dry turning of AISI O, (manganese-chromium-tungsten / W.-Nr. 1.2510) tool-steel specimens is reported. The influence of the main machining parameters i.e., cutting speed, feed rate and depth of cut on the resulted center-line average surface roughness (Ra) is examined. Types of wear phenomena occurred during the course of the present experimental study as well as tool wear patterns were also monitored.
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Chodźko, Marcin, and Krzysztof Marchelek. "Modal Modeling of Micro-Machining Center." In ASME 2012 11th Biennial Conference on Engineering Systems Design and Analysis. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/esda2012-83005.

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Modeling of dynamic properties of machine tools has a significant influence on improvement of its construction. This process is extremely important when a new construction of machine tool is under development. Experimental modal analysis provides information about frequency bandwidths with significant amplitudes of resonances, damping values and mode shapes. This information can be used in FEM model updating, stability prediction or finding weak elements of the machine tool structure as well. In the paper the modal model of prototype of the micro machining center is presented. Polymax algorithm was used to estimate the poles (frequency, damping) of modal model and modal shapes. Modal model was built on the basis of the impact test results. Methodology of conducted experimental test is presented. Tested machine tool was made of different materials (steel, aluminum, stone and others) which causes difficulties during experimental investigations. In the construction different types of guideways were implemented — rolling, slide and pneumatic ones. Maximum rotational speed of the tool is about 100 000 rev/min, so the frequency range where poles of modal model are estimated is wide (high frequencies of excitation during machining). Weight of sensors used during testing is an important issue due to a low mass of the structure. Also the excitation of the structure is troublesome because of vulnerability of precise guideways and forces sensors used in machine tool construction. Validation of the modal model is also presented in the paper and practical problems of modal testing are discussed.
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7

Kumar, Sanjeev. "An Experimental Study of the Phenomenon of Surface Alloying by EDM Process Using Inconel Tool Electrode." In ASME 2013 International Manufacturing Science and Engineering Conference collocated with the 41st North American Manufacturing Research Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/msec2013-1014.

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Electrical Discharge Machining (EDM) has emerged as a very important machining process due to its numerous advantages. It is extensively used by the die and toolmaking industry for the accurate machining of complex internal profiles. Although EDM is essentially a material removal process, it has been used successfully for improving the surface properties of the work materials after machining. As the dissolution of the electrode takes place during the process, some of its constituents may alloy with the machined surface under appropriate machining conditions. Additive powders in the dielectric medium may form part of the plasma channel in the molten state and produce similar alloying effect. The breakdown of the hydrocarbon dielectric under intense heat of the spark contributes carbon to the plasma channel. Sudden heating and quenching in the spark region also alters the surface properties. This paper reports the results of an experimental study into electrical discharge machining of H13 hot die steel with Inconel (an alloy of chromium, nickel and iron) tool electrode under machining conditions favouring high electrode wear. The results show improvement in micro-hardness after machining by as much as 88%. Scanning Electron Microscopy (SEM) and X-ray Diffraction (XRD) analysis of the machined surfaces show transfer of chromium and nickel from the tool electrode. Both these elements form intermetallic compounds as well as solid solution with iron and strengthen it. It was found that percentage of chromium increased from 5.39% to 6.52% and that of nickel increased from 0.19% to 4.87%. The favourable machining conditions for surface alloying were found to be low value of peak current, shorter pulse on-time, longer pulse off-time and negative polarity of the tool electrode.
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8

Shirguppikar, Shailesh, and Maharudra Patil. "Performance Analysis of Multi Wall Carbon Nanotubes (MWCNT) Coated Tool Electrode During Machining of Titanium Alloy (Ti6Al4V)." In ASME 2020 15th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/msec2020-8224.

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Abstract Electric Discharge Machining (EDM) is one of the leading non-conventional machining processes used to machine hard-to-cut materials in wide range of industrial, biomedical, automotive, defense and aerospace applications. EDM is a controlled spark generation process, which is usually used for machining of difficult to cut materials. In this study, experiments were performed on Titanium Alloy (Ti6Al4V) using thin-film multi-wall Carbon Nanotubes (MWCNT) coated electrode and uncoated aluminum electrodes. Morphological and structural investigations of MWCNT coating were performed using Scanning transmission electron microscope (TEM) and Raman spectroscopy. All experiments were designed with Taguchi’s L16 orthogonal array. Each experiment performed under different condition of current, gap voltage and pulse on time. MRR, TWR, SR and OC are studied for each experiment. It was observed that MWCNT coated electrode gives better surface roughness, higher material removal rate, and lower tool wear rate. The experimental result showed that MRR increased by 14.15%, tool wear rate decreased by 23.40%, surface roughness reduced by 22.14 % and overcut reduced by 23.43 % respectively as compared to uncoated aluminum electrodes. All performance responses improved with thin-film MWCNT coated electrode due to magnificent electrical conductivity and chemical stability of CNT. Analysis of Variance (ANOVA) carried out to understand significant process parameters and its contribution in mentioned response variables. Multi-Wall CNT shows better results at high temperature and prevents the tool wear rate. The surface roughness of Ti6Al4V improved with MWCNT coated electrode and it was evident with scanning electron microscope (SEM) images of workpiece. Comparative study of coated and non-coated gives new development of novel electrode tool for electric discharge machining processes.
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9

Mendieta, Rodrigo Maldonado, and Juan de Dios Calderón Nájera. "Analysis of MQL Effect on Forces, Friction, and Surface Roughness in Turning of AISI 4140 Steel." In ASME 2018 13th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/msec2018-6344.

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Minimum Quantity Lubrication or MQL is an increasingly used technique for metal cutting operations and it has become an attractive alternative for machining parts at big scale production. However, fully lubricated conditions are still in use for machining special materials so that surface finish, tool wear, and temperature distribution levels remain at optimum levels. On the other hand, dry condition machining is in use as well although with some restraint due to issues with material burr, surface roughness, and tool wear. The main purpose of this work is to analyze the effects of cutting fluid flow rate, its application mechanisms, and cutting speed on surface roughness and establish the lowest possible cutting fluid flow rate that yields to minimum surface roughness (Ra). To achieve the objective, a set of experiments was performed using a Computer Numerical Control (CNC) lathe instrumented with a Kistler 9121 dynamometer and a customized cutting fluid application system to obtain coefficients of friction and cutting forces. Finally, a previously 2D finite element analysis (FEA) simulation from Akbar et al. [1] is applied and compared to experimental results to find out if the cutting force can be predicted. A first regression model that correlates cutting force and surface roughness is posed, so that FEA simulation can be implemented to predict the final surface roughness. AISI 4140 machinery steel in annealed condition is used to carry out the simulated and experimental work.
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10

Qian, Li, Shuting Lei, and Renji Chen. "Finite Element Analysis of Turning Hardened AISI 42100 Bearing Steel With Various Cutting Inserts." In ASME 2006 Pressure Vessels and Piping/ICPVT-11 Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/pvp2006-icpvt-11-93149.

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Finite element simulations of high-speed orthogonal machining were performed to study the finish hard-turning process as a function of cutting speed, feed rate, cutter geometry, and workpiece hardness. The finish hard-turning process is defined as turning materials with hardness higher than 40 HRC (Hardness – Rockwell C), under appropriate high feed rate and low depth of cut conditions. In the simulations, properties representative of AISI 52100 bearing steel hardened to 45, 51 or 58 HRC were assumed for the workpiece. Cubic boron nitride (CBN), titanium aluminum nitride (TiAlN)-coated carbide cutters, and ceramics inserts are widely used as cutting tool material in such high-speed machining of hardened tool steels — due to high hardness, high abrasive wear resistance, and chemical stability at high temperature. The numerical simulations or experiments assumed physical, mechanical, and thermal properties representative of each of the three cutting materials. Cutting forces, tool and workpiece temperature, and residual stresses were determined in the numerical simulations. These resulting trends in forces, temperatures, and residual stress are consistent with experimental results reported in the literature.
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