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Journal articles on the topic 'FLOW MACHINING PROCESS'

Author: Grafiati

Published: 11 September 2023

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1

Brar, B. S., R. S. Walia, and V. P. Singh. "Electrochemical-aided abrasive flow machining (ECA2FM) process: a hybrid machining process." International Journal of Advanced Manufacturing Technology 79, no. 1-4 (February 4, 2015): 329–42. http://dx.doi.org/10.1007/s00170-015-6806-y.

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2

Singh, Sehijpal, and H. S. Shan. "Development of magneto abrasive flow machining process." International Journal of Machine Tools and Manufacture 42, no. 8 (June 2002): 953–59. http://dx.doi.org/10.1016/s0890-6955(02)00021-4.

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3

Schmitt, J., and S. Diebels. "Simulation of the abrasive flow machining process." ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik 93, no. 2-3 (February 1, 2013): 147–53. http://dx.doi.org/10.1002/zamm.201200111.

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4

Gupta, Ravi, Rahul O. Vaishya, Dr R. S. Walia Dr. R.S Walia, and Dr P. K. Kalra Dr. P.K Kalra. "Experimental Study of Process Parameters On Material Removal Mechanism in Hybrid Abrasive Flow Machining Process (AFM)." International Journal of Scientific Research 2, no. 6 (June 1, 2012): 234–37. http://dx.doi.org/10.15373/22778179/june2013/75.

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5

Ma, Bao Li, Shi Ming Ji, and Da Peng Tan. "Soft Abrasive Flow Machining." Applied Mechanics and Materials 159 (March 2012): 262–66. http://dx.doi.org/10.4028/www.scientific.net/amm.159.262.

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Soft Abrasive Flow Machining (SAFM) was presented as a new finishing process about the existing problems that the irregular surface of plastic mould was polishing difficultly. The paper first introduced the working principle and feature of SAMF. Secondly, the main influences of SAFM were analyzed. The problem of technology and theory urgent to settle was discussed. At the last, the technology development of SAFM was expected.

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6

Kassim, Noordiana, Yusri Yusof, Mahmod Abd Hakim Mohamad, Mohd Najib Janon, and Rafizah Mohd Hanifa. "Development of STEP-NC Based Machining System for Machining Process Information Flow." Applied Mechanics and Materials 315 (April 2013): 278–82. http://dx.doi.org/10.4028/www.scientific.net/amm.315.278.

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To realize the STEP-NC based machining system, it is necessary to perform machining feature extraction, generating machine-specific information, and creating a relationship between STEP-NC entities. A process planning system of a STEP-NC information flow that starts with constructing a machining feature from a CAD model will be developed. In this paper, a further in-depth study of the implementation and adaptation of STEP-NC in manufacturing is studied. This study will help to understand how the data from CAD/CAM can be converted into STEP-NC codes and the machining process will be based on the STEP-NC codes generated.

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7

Mahdy, M., M. awad, F. Mansour, and Ebrahim M. elshimy. "Magnetic field effect on Abrasive Flow Machining Process." Engineering Research Journal - Faculty of Engineering (Shoubra) 46, no. 1 (October 1, 2020): 27–32. http://dx.doi.org/10.21608/erjsh.2020.228174.

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8

Vu, Viet, Yan Beygelzimer, Roman Kulagin, and Laszlo Toth. "Mechanical Modelling of the Plastic Flow Machining Process." Materials 11, no. 7 (July 16, 2018): 1218. http://dx.doi.org/10.3390/ma11071218.

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A new severe plastic deformation process, plastic flow machining (PFM), was introduced recently to produce sheet materials with ultrafine and gradient structures from bulk samples in one single deformation step. During the PFM process, a part of a rectangular sample is transformed into a thin sheet or fin under high hydrostatic pressure. The obtained fin is heavily deformed and presents a strain gradient across its thickness. The present paper aims to provide better understanding about this new process via analytical modelling accompanied by finite element simulations. PFM experiments were carried out on square commercially pure aluminum (CP Al) billets. Under pressing, the material flowed from the horizontal channel into a narrow 90° oriented lateral channel to form a fin sheet product, and the remaining part of the sample continued to move along the horizontal channel. At the opposite end of the bulk sample, a back-pressure was applied to increase the hydrostatic pressure in the material. The experiments were set at different width sizes of the lateral channel under two conditions; with or without applying back-pressure. A factor called the lateral extrusion ratio was defined as the ratio between the volume of the produced fin and the incoming volume. This ratio characterizes the efficiency of the PFM process. The experimental results showed that this ratio was greater when back-pressure was applied and further, it increased with the rise of the lateral channel width size. Finite element simulations were conducted in the same boundary conditions as the experiments using DEFORM-2D/3D software, V11.0. Two analytical models were also established. The first one used the variational principle to predict the lateral extrusion ratio belonging to the minimum total plastic power. The second one employed an upper-bound approach on a kinematically admissible velocity field to describe the deformation gradient in the fin. The numerical simulations and the analytical modelling successfully predicted the experimental tendencies, including the deformation gradient across the fin thickness.

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9

Uhlmann, E., C. Schmiedel, and J. Wendler. "CFD Simulation of the Abrasive Flow Machining Process." Procedia CIRP 31 (2015): 209–14. http://dx.doi.org/10.1016/j.procir.2015.03.091.

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10

Chen, Guang Jun, Xian Li Liu, and Cai Xu Yue. "Study on Causes of Material Plastic Side Flow in Precision Hard Cutting Process." Advanced Materials Research 97-101 (March 2010): 1875–78. http://dx.doi.org/10.4028/www.scientific.net/amr.97-101.1875.

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There are many special cutting disciplines needed to research in precision hard cutting process. The plastic side flow on machining surface influences machining surface roughness great. The mathematical model of hump height for surface plastic side flow is built based on the model of precision hard cutting and forming mechanism of surface plastic side flow is analyzed. Effect of cutting feed on the maximum scallop height of machining surface is researched and microscopic observation of surface topography is made through the hard cutting experiment. In certain conditions, the machining surface roughness and the cutting off trace increase with cutting feed. Because of the metal softening, some metal which formed side flow fall off immediately but make plastic flow on the strip edge of machining surface when it flows out tool surface. This research supplied theoretical basis for prediction of hard cutting process surface quality.

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11

Cherian, Jose, and Jeoju M. Issac. "Fatigue Performance in Abrasive Flow Machining." Applied Mechanics and Materials 592-594 (July 2014): 354–62. http://dx.doi.org/10.4028/www.scientific.net/amm.592-594.354.

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Surface finish and Manufacturing process has a prominent role in the fatigue life of a machine component. Fatigue strength of a material generally increases with the surface finish. But the super finishing process like electro polishing reduces the fatigue strength of the material. In Abrasive flow machining it is found that surface finish and fatigue strength always increasing. In Abrasive flow machining the fatigue strength is mainly governed by the process variables extrusion pressure, abrasive concentration and mesh size. This research studies the influence of the process variables on the fatigue strength of the material. In this study an approximate surface finish of 4μm is obtained after AFM. The effect of three process variables on the response function selected, fatigue strength, were studied. A statistical 23full factorial experimental technique is used to find out the main effect, interaction effect and contribution of each variable on fatigue strength. The instron machine is used to find out the number of cycles to failure of the material. The fatigue strength is obtained with S-N curve analysis.

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12

Nowacka, Agnieszka, and Tomasz Klepka. "Influence of Machining Conditions on Friction in Abrasive Flow Machining Process – A Review." MATEC Web of Conferences 357 (2022): 03007. http://dx.doi.org/10.1051/matecconf/202235703007.

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This paper presents a rage of variable machining factors which influence substantially friction directly or by the abrasive media wear developed in the cutting zone. Abrasive flow machining is method of machining surfaces of complex holes and curved surface. In the case of traditional stream treatment methods abrasive (AFM) it is difficult to obtain a uniform roughness radial decomposition during polishing complicated openings, which results from uneven distribution of abrasive forces. The group of direct factors include the work piece materials and abrasive media, changes in the fluid pressure, number of flow cycles, the medium flow frequency. In addition, it was proposed modifications in the amount and size of grains abrasives filling the abrasive medium to increase the value of the grain pressure force on the surface to be processed and obtained an even surface of complex holes in the process AFM processing. Special attention was paid to the abrasive media wear evolution and its pronounced effect on changes of the contact conditions. The experiment results also confirm that the rise in the medium flow frequency during the process will not affect the roughness changes work piece surface.

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13

Ji, Ren Jie, Yong Hong Liu, Chao Zheng, Fei Wang, Yan Zhen Zhang, Yang Shen, and Bao Ping Cai. "Computational Fluid Dynamics Analysis of Working Fluid Flow and Machining Debris Movement in End Electrical Discharge Milling and Mechanical Grinding Compound Machining." Advanced Materials Research 621 (December 2012): 191–95. http://dx.doi.org/10.4028/www.scientific.net/amr.621.191.

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The working fluid flow and the machining debris movement in the machining gap exercise a great influence on the process performance in end electrical discharge milling and mechanical grinding compound machining. In this paper, the working fluid flow and the machining debris movement in the machining gap are modeled based on the liquid-solid two-phase flow theory. The gap flow field is calculated with the software of Fluent, and the velocity field and the pressure field are analyzed. The results show that in the gap flow field of the compound machining, the working fluid flow can be accelerated, and the machining debris can be ejected timely by the rapid rotation of the tool electrode, so the compound process performance can be enhanced.

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14

Chai, Mingxia, Zhiyong Li, Hongjuan Yan, and Xiaoyu Sun. "Experimental Investigations on Aircraft Blade Cooling Holes and CFD Fluid Analysis in Electrochemical Machining." Advances in Materials Science and Engineering 2019 (August 28, 2019): 1–11. http://dx.doi.org/10.1155/2019/4219323.

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The flow field distribution in an interelectrode gap is one of the important factors that affect the machining accuracy and surface quality in the electrochemical machining (ECM) process for aircraft blades. In the ECM process, some process parameters, e.g., machining clearance, processing voltage, and solution concentration, may result in electrolyte fluid field to be complex and unstable, which makes it very difficult to predict and control the machining accuracy of ECM. Therefore, 30 sets of experiments for cooling hole making in ECM were carried out, and furthermore, the machining accuracy and stability of cooling hole were concentrated. In addition, the flow channel of the geometrical model of the gap flow field was established and analyzed according to the electrolyte flow state simulation by CFD. The effects of the flow velocity mode on the machining accuracy and stability for cooling hole making were investigated and determined in detail.

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15

Zhang, Li, Yi Huang, Guoda Chen, Mengru Xu, Weihai Xia, and Yufei Fu. "Experimental study of coverage constraint abrasive flow machining of titanium alloy artificial joint surface." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 233, no. 13 (April 4, 2019): 2399–409. http://dx.doi.org/10.1177/0954405419840553.

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In order to study the machining mechanism and process of abrasive flow machining for the titanium alloy artificial joint surface, the abrasive flow machining experimental platform and the curved surface profiling flow channel were established for the machining. The influence of various process parameters (abrasive particle size, abrasive particle concentration, and processing time) and interaction factors on surface roughness and surface micro-topography of the workpiece was quantitatively evaluated through response surface analysis, and a surface roughness prediction model was established. The experimental results show that coverage constraint abrasive flow machining can significantly improve the surface quality of the titanium alloy artificial joint surface, thereby improving the wear resistance and service life of the artificial joint. Using abrasive flow machining with a smaller abrasive particle size and a larger concentration can obtain smaller surface roughness. Under the experimental conditions, the influence of process parameters on the surface roughness is in descending order of processing time, abrasive particle concentration, and abrasive particle size. And the interaction of processing time and abrasive particle size is more effective during processing. The research results can provide the basis for optimizing the flow channel structure for the abrasive flow machining of the titanium alloy artificial joint surface and have a certain guiding significance on the process optimization.

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16

Kumar Jain, Rajendra, and Vijay Kumar Jain. "Simulation of surface generated in abrasive flow machining process." Robotics and Computer-Integrated Manufacturing 15, no. 5 (October 1999): 403–12. http://dx.doi.org/10.1016/s0736-5845(99)00046-0.

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17

Brar, B. S., R. S. Walia, V. P. Singh, and M. Sharma. "A Robust Helical Abrasive Flow Machining (HLX-AFM) Process." Journal of The Institution of Engineers (India): Series C 94, no. 1 (January 2013): 21–29. http://dx.doi.org/10.1007/s40032-012-0054-9.

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18

Yu, Jianchao, Feng Jiang, Yiming Rong, Hong Xie, and Tao Suo. "Numerical study the flow stress in the machining process." International Journal of Advanced Manufacturing Technology 74, no. 1-4 (June 6, 2014): 509–17. http://dx.doi.org/10.1007/s00170-014-5966-5.

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19

Liang, Steven Y., and Zhi Peng Pan. "Integration of Process Mechanics and Materials Mechanics for Precision Machining." Solid State Phenomena 261 (August 2017): 9–16. http://dx.doi.org/10.4028/www.scientific.net/ssp.261.9.

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On process mechanics, the mechanical and thermal stresses and their distributions within the material as imposed by machining is essential, and on materials mechanics, the crystal plasticity and microstructural dynamics of recrystallization, texture evolution, phase field variation, as well as constitutive of flow stress and other properties play pivotal roles. Furthermore, mechanical, thermal, and even chemical stresses imposed by machining effect the evolution of part microstructure and bulk properties, but on the other hand the materials microstructure can also change the flow stress characteristics and heat generation mechanics of machining. This process-materials interaction of bilateral nature is not clearly understood in the current literature. This paper outlines an iterative blending scheme to factor in both the process mechanics and materials mechanics in one analysis platform to facilitate the predictive modeling and planning of precision machining. The integration of the two mechanics domains combines macroscopic analysis of contact plasticity and moving heat source with the microscopic analysis of constitutive and homogenization modeling, to achieve a holistic descript of precision machining thus supporting process design and optimization. Steels, and titanium alloys are discussed as example material families in machining.

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20

Wang, Panpan, Yafeng He, Tao Yang, Bo Xu, and Bing Long. "Experiment and Modelling of Triangular Holes Array by Non-traditional Machining Process." Journal of Physics: Conference Series 2218, no. 1 (March 1, 2022): 012088. http://dx.doi.org/10.1088/1742-6596/2218/1/012088.

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Abstract Triangular holes array is a common structure of the specially shaped holes that can be used for various products in aerospace vehicles. These are commonly produced in the electrochemical machining (ECM) process. The high-quality and accuracy of a triangular grid are closely related to the processing parameters of cathode structure and sidewall insulation sleeve, power supply, electrolyte flow rate, feed speed, and machining gap. Simulations have been carried out to consider the influence of parameters including structure and dimension of the cathode, initial machining gap, feed speed, and current on the homogeneity of the flow field in the machining gap. Consequently, the modeling can support the design of the cathode. The paper is divided into two parts. Firstly, the tool cathode is simulated and fabricated. Secondly, the triangular holes array is produced by using the designed cathode tool. It was found that higher feed speed and lower machining gap increase the stability, accuracy, and efficiency of the machining process and the quality of the triangular holes array.

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21

Deng, Qian Fa, Ping Zhao, Bing Hai Lv, Ju Long Yuan, and Zhi Wei Wang. "Process Parameters Influence on Semi-Fixed Abrasive Tool Wear." Advanced Materials Research 325 (August 2011): 251–56. http://dx.doi.org/10.4028/www.scientific.net/amr.325.251.

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Abrasive machining is an important process for the manufacturing of advanced ceramics. The demand for advanced ceramics with better quality and higher efficiency presents tremendous challenges for abrasive tools in the advanced ceramics industry. The concept of semi-fixed abrasive machining with a newly developed semi-fixed abrasive tool (SFAT) as machining tool is put forward. This paper presents an experimental investigation for SFAT wear into course of machining single crystal silicon with SFAT. Process parameters (water flow, load and velocity) influencing the SFAT wear are analyzed. Influencing factor of SFAT wear in processing course has been clearly demonstrated.

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22

Williams, R. E., and K. P. Rajurkar. "Stochastic Modeling and Analysis of Abrasive Flow Machining." Journal of Engineering for Industry 114, no. 1 (February 1, 1992): 74–81. http://dx.doi.org/10.1115/1.2899761.

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Finishing operations in the metal working industry represent a critical and expensive phase of the overall production process. A new process called Abrasive Flow Machining (AFM) promises to provide the accuracy, efficiency, economy, and the possibility of effective automation needed by the manufacturing community. The AFM process is still in its infancy in many respects. The process mechanism, parametric relationships, surface integrity, process control issues have not been effectively addressed. This paper presents preliminary results of an investigation into some aspects of the AFM process performance, surface characterization, and process modeling. The effect of process input parameters (such as media viscosity, extrusion pressure, and number of cycles) on the process performance parameters (metal removal rate and surface finish) are discussed. A stochastic modeling and analysis technique called Data Dependent Systems (DDS) has been used to study AFM generated surface. The Green’s function of the AFM surface profile models provides a “characteristic shape” that is the superimposition of two exponentials. The analysis of autocovariance of the surface profile data also indicates the presence of two real roots. The pseudo-frequencies associated with these two real roots have been linked to the path of the abrasive grains and to the cutting edges of the grain. Furthermore, expressions have been proposed for estimating the abrasive grain wear and the number of grains actively involved in cutting with a view towards developing indicators of media batch life. A brief introduction to the AFM process and related research is also included in this paper.

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23

Tuo, Long, Lu Dai, and Xiong Chen. "Scheduling of Discrete Manufacturing Process for Energy Saving." Applied Mechanics and Materials 556-562 (May 2014): 4248–54. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.4248.

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Rotor machining is a traditional discrete manufacturing process, among which large amount of non-essential energy is being wasted. The machining process belongs to pipeline production, so a flow-shop scheduling model is built to optimize it. But when there are over three machines, this will be an NP-hard problem. We introduce an improved ant-colony algorithm to find the best solution and then use the real machining data to test it. The total energy consumption is reduced by over 10% and this shows the model and intelligent algorithm work well.

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24

Kozak, J., K. P. Rajurkar, and R. Balkrishna. "Study of Electrochemical Jet Machining Process." Journal of Manufacturing Science and Engineering 118, no. 4 (November 1, 1996): 490–98. http://dx.doi.org/10.1115/1.2831058.

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Jet Electrochemical Machining (ECJM) employs a jet of electrolyte for anodic dissolution of workpiece material. ECJM is extensively used for drilling small cooling holes in aircraft turbine blades and for producing maskless patterns for microelectronics parts. ECJM process drills small diameter holes and complex shape holes without the use of a profile electrode. One of the most significant problems facing ECJM user industries is the precise control of the process. A theoretical analysis of the process and a corresponding model are required for the development of an appropriate control system. This paper presents a mathematical model for determining the relationship between the machining rate and working conditions (electrolyte jet flow velocity, jet length, electrolyte properties, and voltage) of ECJM. This model describes a distribution of electric field and the effect of change of conductivity of electrolyte (caused by heating) on the process performance. A maximum dissolution rate is determined from the allowable increase of electrolyte temperature. Experimental verification of theoretical results is also presented.

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25

Pal, Vijay Kumar, and Puneet Tandon. "Effect of Abrasive Flow Rate in Milling with Abrasive Water Jet." Applied Mechanics and Materials 110-116 (October 2011): 196–201. http://dx.doi.org/10.4028/www.scientific.net/amm.110-116.196.

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This Abrasive Water Jet Machining (AWJM) process is usually used to cut the materials which are difficult to cut by conventional machining processes. In this work, controlled depth milling (CDM) is done using AWJM. This work primarily focuses on controlling the abrasive flow rate to reduce the time for machining the component. Here, an experimental setup is made with a modified attachment for abrasive feed system to machine stainless steel. The work also investigates the surface morphology, tolerance on depth of machining and surface waviness for the modified setup. With change in mass flow rate of abrasive, the traverse speed may also be altered and its effects on the machining time are controlled. This work also employs Non-destructive Testing (NDT) method i.e. ultrasonic flaw detector to find out internal defects and cracks in the milled material.

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26

Dabrowski, L., M. Marciniak, and T. Szewczyk. "Analysis of Abrasive Flow Machining with an Electrochemical Process Aid." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 220, no. 3 (March 1, 2006): 397–403. http://dx.doi.org/10.1243/095440506x77571.

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Electrochemical aided abrasive flow machining (ECAFM) is possible using polymeric electrolytes. The ion conductivity of electrolytes is many times lower than the conductivity of electrolytes employed in ordinary electrochemical machining (ECM). Additions of inorganic fillers to electrolytes in the form of abrasives decrease conductivity even more. These considerations explain why the interelectrode gap through which the polymeric electrolyte is forced should be small. This in turn results in greater flow resistance of polymeric electrolyte, which takes the form of a semi-liquid paste. Rheological properties are also important for performance considerations. Experimental investigations have been carried out for smoothing flat surfaces and process productivity in which polymer electrolytes as gelated polymers and water-gels based on acryloamide were used.

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27

Patil, Vijay B., Amol S. Bhanage, and Rajat S. Patil. "Analysis and Optimization of Process Parameters of Abrasive Flow Machining Process for Super Finishing of Non-Ferrous Material Nozzle." Applied Mechanics and Materials 612 (August 2014): 97–104. http://dx.doi.org/10.4028/www.scientific.net/amm.612.97.

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This paper deals with the improving lay of finish and the superfinishing of the nozzles which is used in plasma cutting operation. This is basically alternative solution to present finish obtained by turning, drilling and reaming of the profiled bores and orifices. The advance micromachining process were developed, known as Abrasive Flow Machining (AFM) which is capable to altering the orifice (nozzle of plasma cutting machines) so that present process is to be improved without altering the geometry of the component. The effects of different process parameters such as number of cycles, concentration of abrasive, abrasive mesh size and media flow speed, surface finish are studied here. The design of the experiments 16(24) provides two levels for each variable. These levels are taken into consideration for finding out the effect of variation of parameters on the surface roughness of the copper orifice. The objective of paper is to learn how each parameter is considered for Abrasive Flow Machining such as: abrasive concentration in media, number of cycles, abrasive mesh size and media flow speed affects the surface roughness of copper orifice also to find out the mathematical relationship between surface roughness value and process parameters. Analysis of Variance (ANOVA) for the experimental data has been carried out and optimizations of abrasive flow machining process parameters were done. Also Analytic Hierarchy Process (AHP) done here for selecting hierarchy process parameter .Capabilities of the machine ultimately improved with the new technology developed.

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28

Fritsching, Udo, Lizoel Buss, Teresa Tonn, Lukas Schumski, Jurgen Gakovi, Johnson David Hatscher, Jens Sölter, et al. "Flow Visualisation and Evaluation Studies on Metalworking Fluid Applications in Manufacturing Processes—Methods and Results." Processes 11, no. 9 (September 7, 2023): 2690. http://dx.doi.org/10.3390/pr11092690.

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Metalworking operations rely on the successful application of metalworking fluids (MWFs) for effective and efficient operation. Processes such as grinding or drilling often require the use of MWFs for cooling, lubrication, and chip removal. Electrochemical machining processes require electrolyte flow to operate. However, in those machining operations, a fundamental understanding of the mode of action of MWF is lacking due to the unknown flow dynamics and its interaction with the material removal during the process. Important information on the behaviour of MWFs during machining can be obtained from specific experimental flow visualisation studies. In this paper, promising flow visualisation analysis techniques applied to exemplary machining processes (grinding, sawing, drilling, and electrochemical machining) are presented and discussed. Shadowgraph imaging and flow measurements, e.g., particle image velocimetry, allow the identification of typical flow and MWF operating regimes in the different machining processes. Based on the identification of these regimes, efficient machining parameters and MWF applications can be derived. In addition, detailed experimental analyses of MWFs provide essential data for the input and validation of model development and numerical simulations within the Priority Programme SPP 2231 FluSimPro.

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29

Bose, Goutam Kumar. "Selecting Significant Process Parameters of ECG Process Using Fuzzy-MCDM Technique." International Journal of Materials Forming and Machining Processes 2, no. 1 (January 2015): 38–53. http://dx.doi.org/10.4018/ijmfmp.2015010103.

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The present paper highlights selection of significant machining parameters during Electrochemical grinding while machining alumina-aluminum interpenetrating phase composites by MCDM techniques. The conflicting responses like higher material removal rate, lower surface roughness, lower overcut and lower cutting force are ensured simultaneously by a single parametric combination. Control parameters like electrolyte concentration, voltage, depth of cut and electrolyte flow rate have been considered for experimentation. VIKOR is one of the multiple criteria decision making (MCDM) models to determine the reference ranking from a set of alternatives in the presence of conflicting criteria. Finally Grey Relational Analysis is performed to optimize multiple performances in which different levels combinations of the factors are ranked based on grey relational grade. Surface roughness is given more importance than other responses, using Fuzzy Set Theory considering basic objective of the process. It is observed that substantial improvement in machining performance takes place following this technique. The study highlights the effects of different process variables on multiple performances for complex process like ECG.

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30

Li, Zhaolong, Wangwang Li, and Bingren Cao. "Simulation Analysis of Multi-Physical Field Coupling and Parameter Optimization of ECM Miniature Bearing Outer Ring Based on the Gas-Liquid Two-Phase Turbulent Flow Model." Micromachines 13, no. 6 (June 7, 2022): 902. http://dx.doi.org/10.3390/mi13060902.

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Electrochemical machining (ECM) is an essential method for machining miniature bearing outer rings on the high-temperature-resistant nickel-based alloy GH4169. However, the influence of electrolyte temperature distribution and bubble rate distribution on electrolyte conductivity in the ECM area could not be fully considered, resulting in the simulation model not being able to accurately predict the machining accuracy of the outer ring of the miniature bearing, making it challenging to model and predict the optimal process parameters. In this paper, a multiphysics field coupled simulation model of electric, flow, and temperature fields during the ECM of the miniature bearing outer ring is established based on the gas–liquid two-phase turbulent flow model. The simulation analyzed the distribution of electrolyte temperature, bubble rate, flow rate, and current density in the machining area, and the profile change of the outer ring of the miniature bearing during the machining process. The analysis of variance and significance of machining voltage, electrolyte concentration, electrolyte inlet flow rate, and interaction on the mean error of the ECM miniature bearing outer rings was derived from the central composite design. The regression equation between the average error and the process parameters was established, and the optimal combination of process parameters for the average error was predicted, i.e., the minimum value of 0.014 mm could be achieved under the conditions of a machining voltage of 16.20 V, an electrolyte concentration of 9.29%, and an electrolyte inlet flow rate of 11.84 m/s. This is important to improve the machining accuracy of the outer ring of the ECM miniature bearing.

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31

Dong, Zhiguo, Gang Ya, and Jiancheng Liu. "Study on machining mechanism of high viscoelastic abrasive flow machining for surface finishing." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 231, no. 4 (October 2, 2016): 608–17. http://dx.doi.org/10.1177/0954405415586967.

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Abrasive flow machining is a pragmatic machining process used for part finishing. This article primarily focuses on the study of machining mechanism of high viscoelastic abrasive flow machining, with the aim to understand the relation among the abrasive media’s flow pressure, the material removal rate and the machining quality. The theoretical calculation models of the normal pressure on the inner surface of a circular tube and the wall sliding velocity are established based on rheology theory. The material removal rate of abrasive flow machining with a high viscoelastic abrasive media is derived. Numerical simulations with various machining conditions were conducted using the mathematical models proposed in this research and the obtained findings are discussed. The feasibility of these models introduced for high viscoelastic abrasive machining is also investigated and verified through actual experimental tests.

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32

ZHENG, HUA-LIN, YUE-PAI WANG, and XI-YUAN WAN. "RFID-BASED SYNCHRONIZATION OF INFORMATION FLOW AND MATERIAL FLOW." Journal of Advanced Manufacturing Systems 07, no. 02 (December 2008): 271–74. http://dx.doi.org/10.1142/s0219686708001553.

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RFID (Radio Frequency Identification) technology is put forward as a new data collection method to bridge the gap between information flow and material flow. The data achieved by RFID can be shared by both MES and ERP simultaneously. A simulated WIP (Work In Process) machining process application case study is used in the paper to show how the synchronization is realized.

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Arsecularatne, J. A., B. Kristyanto, and P. Mathew. "An Investigation of the High Speed Machining Process Using a Variable Flow Stress Machining Theory." Machining Science and Technology 8, no. 2 (December 30, 2004): 211–33. http://dx.doi.org/10.1081/mst-200028736.

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Jain, R. K., V. K. Jain, and P. K. Kalra. "Modelling of abrasive flow machining process: a neural network approach." Wear 231, no. 2 (July 1999): 242–48. http://dx.doi.org/10.1016/s0043-1648(99)00129-5.

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Nägele, H., H. Wörner, and M. Hirschvogel. "Automotive parts produced by optimizing the process flow forming – machining." Journal of Materials Processing Technology 98, no. 2 (January 2000): 171–75. http://dx.doi.org/10.1016/s0924-0136(99)00195-8.

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Petri, Kimberly L., Richard E. Billo, and Bopaya Bidanda. "A neural network process model for abrasive flow machining operations." Journal of Manufacturing Systems 17, no. 1 (January 1998): 52–64. http://dx.doi.org/10.1016/s0278-6125(98)80009-5.

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Jain, Rajendra K., and V. K. Jain. "Specific energy and temperature determination in abrasive flow machining process." International Journal of Machine Tools and Manufacture 41, no. 12 (September 2001): 1689–704. http://dx.doi.org/10.1016/s0890-6955(01)00043-8.

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Sharma, Apurbba Kumar, G. Venkatesh, S. Rajesha, and Pradeep Kumar. "Experimental investigations into ultrasonic-assisted abrasive flow machining (UAAFM) process." International Journal of Advanced Manufacturing Technology 80, no. 1-4 (March 28, 2015): 477–93. http://dx.doi.org/10.1007/s00170-015-7009-2.

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Lu, Xiaohong, Song Wang, Shasha Wang, Lusi Gao, and Likun Si. "The process flow optimisation of crankshaft machining considering production logistics." International Journal of Industrial and Systems Engineering 30, no. 2 (2018): 125. http://dx.doi.org/10.1504/ijise.2018.094838.

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Gao, Lusi, Likun Si, Xiaohong Lu, Song Wang, and Shasha Wang. "The process flow optimisation of crankshaft machining considering production logistics." International Journal of Industrial and Systems Engineering 30, no. 2 (2018): 125. http://dx.doi.org/10.1504/ijise.2018.10016213.

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Kohail, A., M. Mandy, and T. Ahmed. "STATISTICAL EVALUATION OF SURFACE ROUGHNESS IN ABRASIVE FLOW MACHINING PROCESS." International Conference on Aerospace Sciences and Aviation Technology 11, ASAT CONFERENCE (May 1, 2011): 1–13. http://dx.doi.org/10.21608/asat.2011.27171.

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Koo, Joon-Young, Jeong-Suk Kim, and Pyeong-Ho Kim. "Machining Characteristics of Micro-Flow Channels in Micro-Milling Process." Machining Science and Technology 18, no. 4 (October 2, 2014): 509–21. http://dx.doi.org/10.1080/10910344.2014.955360.

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Vu, Viet Q., Yan Beygelzimer, Roman Kulagin, and Laszlo S. Toth. "The New Plastic Flow Machining Process for Producing Thin Sheets." Advances in Materials Science and Engineering 2018 (September 16, 2018): 1–8. http://dx.doi.org/10.1155/2018/8747960.

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A new severe plastic deformation (SPD) process called plastic flow machining (PFM) was recently proposed to produce thin sheets with gradient structures. In the present paper, the role of the die geometry is investigated by studying the effects of the produced sheet thickness (h) on the material properties of commercial pure Aluminum (Al1050) processed by PFM. The obtained experimental results show that an increase of h in the range of 0.65 to 1.5 mm improved the formation efficiency of the sheet. Microstructures of the produced sheets show gradient structures with an average grain size varying from 0.8 to 3.81 µm across the sheet thickness. Both experiments and finite element (FE) simulations document that the degree of the gradient in the microstructure became more significant when h was increased. Sheets produced by PFM exhibited a better strength-ductility balance than sheets obtained in other SPD processes. Tensile strength of 160–175 MPa and total ductility of 18–25% were obtained for the processed samples after PFM. A rise of h from 0.65 to 1.5 mm lowered the strength but enhanced the ductility of the produced sheet, which is due to the coarser microstructure at larger values of h.

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Uhlmann, Eckart, Vanja Mihotovic, and Andre Coenen. "Modelling the abrasive flow machining process on advanced ceramic materials." Journal of Materials Processing Technology 209, no. 20 (November 2009): 6062–66. http://dx.doi.org/10.1016/j.jmatprotec.2009.06.019.

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F. Ibrahim, Abbas, Saad K.Shather, and Wissam K. Hamdan. "Modeling the Abrasive Flow Machining Process (AFM) On Aluminum Alloy." Engineering and Technology Journal 32, no. 3 (March 1, 2014): 629–42. http://dx.doi.org/10.30684/etj.32.3a.6.

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Zhang, Shengfang, Wenchao Zhang, Yu Liu, Fujian Ma, Chong Su, and Zhihua Sha. "Study on the Gap Flow Simulation in EDM Small Hole Machining with Ti Alloy." Advances in Materials Science and Engineering 2017 (2017): 1–23. http://dx.doi.org/10.1155/2017/8408793.

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In electrical discharge machining (EDM) process, the debris removed from electrode material strongly affects the machining efficiency and accuracy, especially for the deep small hole machining process. In case of Ti alloy, the debris movement and removal process in gap flow between electrodes for small hole EDM process is studied in this paper. Based on the solid-liquid two-phase flow equation, the mathematical model on the gap flow field with flushing and self-adaptive disturbation is developed. In our 3D simulation process, the count of debris increases with number of EDM discharge cycles, and the disturbation generated by the movement of self-adaptive tool in the gap flow is considered. The methods of smoothing and remeshing are also applied in the modeling process to enable a movable tool. Under different depth, flushing velocity, and tool diameter, the distribution of velocity field, pressure field of gap flow, and debris movement are analyzed. The statistical study of debris distribution under different machining conditions is also carried out. Finally, a series of experiments are conducted on a self-made machine to verify the 3D simulation model. The experiment results show the burn mark at hole bottom and the tapered wall, which corresponds well with the simulating conclusion.

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Mathew, Philip. "Prediction of High Speed Machining Cutting Forces Using a Variable Flow Stress Machining Theory." Advanced Materials Research 188 (March 2011): 128–33. http://dx.doi.org/10.4028/www.scientific.net/amr.188.128.

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A variable flow stress machining theory is described where it is used to predict the cutting forces associated with High Speed Machining (HSM) process. The predicted and experimental results for different materials and different cutting conditions are presented and compared and it is shown that the theory developed is capable of predicting the cutting forces and the other parameters associated with the HSM process. The extension of the theory to HSM has been successful within the machining conditions presented here in this paper. Further work is necessary to improve this theory further.

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Zhu, Li Feng, Kai Wang, Huan Wu, Dong Xiu, and Li Zhong Sun. "Research on the Methods for Common-Rail Pipe Holes Abrasive Flow Machining." Applied Mechanics and Materials 721 (December 2014): 122–26. http://dx.doi.org/10.4028/www.scientific.net/amm.721.122.

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Abrasive Flow Machining method is an effective means for the common rail inside the tiny hole and cross-hole debarring polishing and machining. In this article, using FLUENT software analysis Abrasive Flow Machining common rail runner and three-dimensional numerical aperture structure, in the inlet velocity for the next 60m / s condition, contrast single, bilateral Abrasive Flow Machining method, derived both steady-state pressure, image analysis and comparison of the results of the dynamic pressure, velocity and turbulence kinetic energy, properly using numerical calculation to guide production process procedures, provide a reference for the optimization of the abrasive flow processing..

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Sreekesh, K., and P. Govindan. "Experimental Investigation and Analysis of Abrasive Water-Jet Machining Process." Asian Review of Mechanical Engineering 2, no. 2 (November 5, 2013): 42–48. http://dx.doi.org/10.51983/arme-2013.2.2.2347.

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The abrasive water-jet machining is an unconventional and eco-friendly technology used for industrial applications. This paper presents a comprehensive experimental investigation of the process, based on the material removal mechanism. The quality of surfaces machined using the process is investigated in detail. The results have indicated that surface roughness values (Ra in μm) vary between 3.5 and 5.5. The flow of abrasives, their speed and size influence quality of the machined surfaces. As the abrasive flow increases, the surface finish improves drastically. The optimum abrasive flow rate for obtaining the minimum surface roughness of 4.2 μm was corresponding to the maximum level of 7 g/s. This study has also indicated a possibility of applying abrasive water jet machining for fine polishing of machined surfaces, thereby validating the earlier investigations.

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CHEN, Yuanlong, Xiang LI, Jinyang LIU, and Yichi ZHANG. "Multiphysics Numerical Simulation of the Transient Process in Electrochemical Machining." Mechanics 28, no. 5 (October 21, 2022): 417–22. http://dx.doi.org/10.5755/j02.mech.31052.

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To fully understand the electrochemical machining profile, a multi-physics coupling simulation model including flow-electric-temperature-structure field were established to analyze the corrosion process of the anode material and the change trend of temperature,hydrogen volume fraction, electrolyte conductivity and current density in the processing gap.The analysis results show that the temperature and hydrogen content gradually increase along the process direction.The current density and material removal showed a parabolic trend of the upper opening and the lower opening, respectively.The simulation of the different physical field changes in the electrochemical machining blade profile can not only better understand the complex physical phenomena in the machining, but also provide a theoretical basis for the selection of actual electrochemical machining parameters.

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