Development of the process model for plunge grinding and optimization of grinding process J Choi1, C W Lee2, and J-H Park3* 1Technical Center for High-Performance Valves in Dong-A University, Busan, Republic of Korea 2Industrial and Manufacturing Systems Engineering, University of Michigan-Dearborn, Dearborn, MI, USA 3Center for Advanced Net Shape Manufacturing and Clean Process in Dong-A ...

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size, and grinding wheel speed. The input process parameters considered are material hardness, work piece speed and depth of cut. The main objective is to predict the surface roughness and achieve optimal operating process parameters. For optimization process Taguchi optimization method and genetic algorithm are used.

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The numerical optimization suggested that the cryo-grinding of the sample of 9.1% moisture content with the feed rate of 2 kg/h would be the optimum (desirability value of 0.91) at −97C of grinding temperature and 10.5 m/s peripheral speed, respectively.

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Biomass could be a key source of renewable energy. Agricultural waste products, such as corn stover, provide a convenient means to replace fossil fuels, such as coal, and a large amount of feedstock is currently available for energy consumption in the U.S. This study has two main objectives: (1) to understand the impact of corn stover moisture content and grinder speed on grind physical ...

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As the grinding process is dynamic, or create a parasitic or ghost frequency, which severely deteriorates the gear life (Ref. 7). Improper gear grinding results in following issues: Optimization of Generation Gear . Grinding Process. Ankit V. Gujrathi, Abhijeet Dalvi and Abhijit Wagh. Figure 1 Stages of material deformation during formation of ...

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Grinding is the final processing procedure and an important step in determining product quality, and therefore merits special attention and study. Investigators have conducted a lot of studies on the optimization of process parameters in the field of grinding. Some research focused on increasing MRR on the basis of the prediction model of MRR.

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The Research Of Rule-based Intelligent Centerless Grinding Process Optimization Auxiliary System: 8 : Studies, Examples And Knowledge-based Fixture Intelligent Cad System: 9 : Research On Case-Based Reasoning Optimization Of Grinding Classification Process: 10 : Optimize The System, Based On The Alumina Raw Slurry Ingredients Of The Case-based ...

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The Grinding Circuit Simulator at Cannington has enabled further process understanding, controller design and prototyping, as well as investigation of various optimization strategies. The key ideas in using a simulator are it can be used to: test and clarify ideas before committing to final implementation

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He has extensive experience grinding with materials such as ferrous & non-ferrous metals, glass & optics, ceramics, silicon carbide, and more. As a result of his countless hours of research and testing Erik is the factory expert on grinding process optimization at DCM.

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In the case of optimization of the grinding process, the response surface models that are developed using the experimental data in Table 2 were further used as the objective functions. These objective functions are either minimized or maximized using the hybrid GA. In the case of bulk and tapped density, the objective functions were maximized ...

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Grinding Process Optimization. Cost savings up to 40%. Having the right abrasive is not enough. All components involved in the grinding process have to be perfectly adjusted as well. Cost savings of up to 40% have proven to be realistic. They can be achieved by reducing the amount of rejects, reducing cycle times and the amount of machine down ...

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Mustafa Kemal Kulekci "Analysis of Process parameters for a surface- grinding process based on the Taguchi method" ISSN 1580-2949, MTAEC9, 47(1)105(2013) [27] Naresh kumar, Himanshu Tripathi "Optimization of cylindrical grinding process parameters on C40E steel using Taguchi Technique" International journal of engineering.

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A typical grinding process is considered and controlled by using the proposed method, and the optimization algorithm is provided in details.To verify the validity of the proposed method, the experiments of a classic multimodal function and the grinding process are conducted by using the proposed nonlinear predictive controller.

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title = "Superabrasive grinding process optimization through force measurement", abstract = "Several obstacles complicate the task of optimizing a particular superabrasive grinding process. Grinding wheel manufacturers provide valuable guidance in setting up a new process; however, there are numerous issues requiring better insight into machine ...

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Grinding process optimization — Featuring case studies and operating results of the modular vertical roller mill Abstract: As a world-wide leader in grinding solutions for the cement industry and understanding the changing needs of cement producers …

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Grinding Process Optimization. Cost savings up to 40%. Having the right abrasive is not enough. All components involved in the grinding process have to be perfectly adjusted as well. Cost savings of up to 40% have proven to be realistic. They can be achieved by reducing the amount of rejects, reducing cycle times and the amount of machine down ...

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Researches show that solving this problem is an important way to improve the precision of high-speed CNC grinding for non-circular rotary parts. In this paper, a high-speed CNC grinding process control and optimization method is presented for non-circular …

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Selection of parameters in machining process significantly affects quality, productivity, and cost of a component. This paper presents an optimization procedure to determine the optimal values of wheel speed, workpiece speed, and depth of cut in a grinding process considering certain grinding conditions. Experimental studies have been carried out to obtain optimum conditions. …

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The grinding process involves more variables—type of grinding wheel, wheel speed, infeed rate, wheel dressing frequency, dressing method, type of coolant and so forth—than most other metalworking processes. ... "We would come in as a consultant to help a company install the optimization program and train its employees to use it. Companies ...

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An energy efficiency benchmark has been suggested to indicate the eco-friendly ability of grinding process. The AISI 1045 steel grinding case has demonstrated the feasibility and applicability of the proposed optimization approach. Following findings could be drawn from the research: i. The 3-15-4 aANN structure has been regarded better to ...

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A mathematical model was developed and an optimization strategy was proposed for the process parameters, and verified by two experiments. The experimental results show that the TAA is valid for selecting the optimal process parameters for the two methods of spherical grinding.

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Both thermal and mechanical aspects of the grinding process are investigated in detail in an effort to predict grinding induced residual stresses. An existing thermal model is used as a foundation for computing heat partitions and temperatures in surface grinding. By numerically processing data from IR temperature measurements of the grinding zone; characterizations are made of the grinding ...

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CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Several obstacles complicate the task of optimizing a particular superabrasive grinding process. Grinding wheel manufacturers provide valuable guidance in setting up a new process; however, there are numerous issues requiring better insight into machine setup and wheel selection.

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The proposed grinding process parameters optimization method can obtain the best combination of process parameters and can effectively improve processing quality and processing efficiency. Expand. 1. View 1 excerpt, cites background; Save. Alert. Research Feed. References. SHOWING 1 …

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Optimization. Enumeration. Burn-free. 1. Introduction. During a grinding process, the work is forced against an abrasive wheel. As a result, material in the form of small chips is removed from the work piece. The rate of material removal depends upon the process variables, such as, wheel parameters, speeds, machine, and coolant.

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optimization of cylindrical grinding process parameters using taguchi method and regression analysis", International Journal of Engineering Science and T echnology, vol. 3, pp.

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DOE PAGES Journal Article: Biomass Grinding Process Optimization Using Response Surface Methodology and a Hybrid Genetic Algorithm Journal Article: Biomass Grinding Process Optimization Using Response Surface Methodology and a Hybrid Genetic Algorithm

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grinding plays a key role in controlling the thermal conditions in the grinding arc. However, the suitable MWF supply in grinding is dependent on various parameters which are MWF flow rate, the jet velocity, the jet shape, the nozzle position [19-21]. The present work follows Taguchi optimization

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Optimization. Enumeration. Burn-free. 1. Introduction. During a grinding process, the work is forced against an abrasive wheel. As a result, material in the form of small chips is removed from the work piece. The rate of material removal depends upon the process variables, such as, wheel parameters, speeds, machine, and coolant.

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Then optimization of cutting workpiece need to be defined. conditions, i.e. wheel speed, feed rate and depth of cut as well Using appropriate roughness parameters, the grinding process as manufacturing strategy, based on a design of experiments can be improved by the understanding and optimization of using response surface methodology (RSM) can ...

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