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Active measurement technology is used widely in the modern precision-grinding process; currently, however, it is tedious and time consuming to adjust the process parameters of grinding process. This process usually depends on the experience of operators, which directly affects the processing efficiency and intelligent …
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Self-optimization of a grinding machine is demonstrated with respect to production costs, while fulfilling quality and safety constraints, with results in the determination of optimal parameters for unknown workpiece and tool combinations after only a few grinding trials. In this study, self-optimization of a grinding machine is …
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Abstract. Grinding is a manufacturing process which significantly contributes in producing high precision and durable components required in numerous …
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MLP ANN and NSGA-II hybrids were able to predict and optimize the grinding process. • The solutions generated by the optimization are consistent with the area literature. • The simulated data presented no statistical difference to the real data. • The scalability of the method allows the inclusion of new grinding processes. •
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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. Active measurement technology is used widely in the modern precision-grinding process; currently, however, it is tedious and time …
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Therefore, in this paper, the multi-objective optimization for grinding process with AISI 1045 steel was conducted to obtain the optimal scheme of the workpiece feed velocities, the depths of ...
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Grinding marks is generated on the ground surface after grinding, and it would affect the surface quality, the subsequent polishing process and performance of workpiece. In this paper, the generation mechanism, affecting factors and optimization strategies, and suppression method of grinding marks was summarized. And then, the …
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Process optimization has also been studied extensively for various manufacturing processes including grinding [10,11]. Optimization of ELID grinding on ceramics by using the process models built ...
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The expert system analyses the experimental results and applies the NSGA-II optimization method to suggest a set of grinding parameters to grind a surface with …
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The results revealed that the optimal grinding parameter combination and optimization results were as follows: spindle speed of 5000 rpm, feed rate of 60 mm/min, grinding depth of 0.6 mm, grinding force of 15.1 N, and material removal rate of 113.8 mm 3 /min. The parameter optimization result can provide theoretical guidance for selecting ...
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Through a large number of experimental verifications and analyses, we find that the proposed grinding process parameters optimization method can obtain the …
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Benefits expected to result from optimized grinding processes include increased productivity; reduced expenditures on consumables; scrap and rework reduction; and improved quality.
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In the present study, Taguchi method or Design of experiments has been used to optimize the effect of cylindrical grinding parameters such as wheel speed (rpm), work speed, feed (mm/min.), depth ...
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Pfeiffer SE Barbarossastrasse 50-54 67655 Kaiserslautern, Germany caroline.woywadt@gebr-pfeiffer. Abstract -- As a world-wide leader in grinding solutions for the cement industry and ...
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Modern production process is accompanied with new challenges in reducing the environmental impacts related to machining processes. ... the multi-objective optimization for grinding process with ...
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The correct definition of goals and criteria for optimizing grinding processes requires knowledge of the nature and variability of phenomena occurring in this …
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To improve the grinding process towards a higher surface integrity, in this study, an orthogonal test was designed and conducted to determine the effect of the wheel speed, workpiece speed, and the grinding depth on the surface integrity of a bearing raceway. After the grinding process, the residual stress, the residual austenite content, …
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Grinding of helical flutes is an important step in the process chain of cylindrical tool manufacturing. The grinding process defines the dynamic performance of the manufactured tool. Moreover, the surface quality and flute shape are primarily determined. For this reason, finding optimum process parameters is essential, …
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This paper presents implementation results of surface grinding processes based on the model-based optimization scheme proposed by Lee and Shin (Lee, C. W., and Shin, Y. C., 2000 "Evolutionary Modeling and Optimization of Grinding Processes," Int. J. Prod. Res. 38(12), pp. 2787–2813). In order to accomplish this goal, process …
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employing modern optimization methods and algorithms. In recent work[1–11], methodologies for modelling and optimization of grinding process response variables have been proposed and the optimum values of cutting conditions, as well as grinding wheel specifications, have been determined. These will guarantee minimum cost, …
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Based on the database, they can store and analyze the data of grinder, material, grinding wheel, coolant and processing process in an all-round way, so as to …
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Recent advances in process modeling allow for more accurate prediction of complex phenomena. A combination of different modeling approaches makes it possible to develop new products to set up, control and optimize machining operations. In the near future, a continuous improvement strategy should be adopted, as improvements to …
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Total time to adjust grinder: 10 – 60 minutes – Grind accuracy: 85 – 95%. Real Time, or Intelligent, grinding is achieved by the coffee being continually checked by a laser analyzer while the grinder is operating and automatically adjusting, as necessary, to accommodate the optimal grind specification. Total time: Less than one minute ...
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Engineering. Summary. This specialist edition features key innovations in the science and engineering of new grinding processes, abrasives, tools, machines, and systems for a …
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Robust Optimization (RO) is a modeling methodology, combined with computational tools, to process optimization problems in which the data are uncertain and is only known to belong to some ...
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Rudrapati et al. [17] combined the response surface method with a genetic algorithm to optimize the grinding process and established the relationship between the input and the output. The results ...
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On this basis, a multi-objective optimization model is established to maximize the useful power of the grinding circuit to improve the throughput of the …
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Modern cutting tools like end mills, drilling tools, and reamers underlie high requirements regarding geometrical accuracy, cutting edge quality, and production costs. However, the potential for process optimization is limited due to the process kinematics during grinding. Consequently, a novel tool grinding process for the manufacture of …
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Every aspect of the grinding process--techniques, machines and machine design, process control, and productivity optimization aspects--come under the searchlight.
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