Materials | Free Full-Text | Multi-Objective Optimization for Grinding …
In the present study, the machinability indices of surface grinding of AISI D2 steel under dry, flood cooling, and minimum quantity lubrication (MQL) conditions are compared. The comparison was confined within three responses, namely, the surface quality, surface temperature, and normal force. For deeper insight, the surface …
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Mechanism and Parameter Optimization in Grinding and Polishing …
Abstract. In order to achieve high quality polishing of a M300 mold steel curved surface, an elastic abrasive is introduced in this paper and its polishing parameters are optimized so that the mirror roughness can be achieved. Based on the Preston equation and Hertz Contact Theory, the theoretical material removal rate (MRR) equation for ...
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Grinding residual stress optimization under the micro …
The micro-carburizing experiment employs dry grinding, with a maximum grinding depth of up to 250 µm in a single pass and a slowest feeding rate of only 0.01 m/s. This extreme grinding condition is selected to cause full austenitizing and demonstrate the micro-carburizing effect in the grinding contact area.
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Optimization of parameters of plastic grinding machine …
The focus of current research on plastic grinding machines has been the improvement of efficiency. Parameters such as the number of rotor blades, number of fixed blades, blade geometry, clearance between fixed and rotor blades, machine power input, and throughput have been studied in previous research. The problem is that little …
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Optimization of Grinding Parameters for Minimum …
To generalize the results, the Modeling of input parameters (Hardness, work piece speed, grain's) and output parameter (Roughness) is done using. REGRESSION MODELLING and MATLAB. Software R2011b. Ra = 105.90 (Hardness)0.0078 * (Work piece Speed) -0.2492 * (Grinding wheel)-0.7340.
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Multi-objective optimization of cortical bone grinding
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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Study on the Optimization of Grinding Efficiency in Gold …
The grinding concentration of 2# ball mill is 68.5%, and the grinding concentration is optimized by reducing the water added to the mine, which is increased to about 75%. (2) The feed concentration of the cyclone is 62.8%, and the concentration is too high, affecting the grading effect, and the graded overflow concentration is 52.2%.
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Low-Carbon Optimization Design of Grinding Machine …
To achieve a fundamental reduction in the carbon emissions associated with grinding machines, it is imperative to systematically explore low-carbon considerations in the design phase. The spindle is a significant contributor to carbon emissions in grinding machines, and an effective approach for reducing carbon emissions is the structural …
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Grinding Circuit Optimization Application
Grinding Optimization. Improve Grinding Stability & Throughtput Using Scientific AI. IntelliSense.io's Grinding Optimization Application uses real-time Scientific AI to guide metallurgists and operators to achieve optimal …
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Multi-objective optimization for surface grinding process …
Optimization for the surface grinding process is a problem with high complexity and nonlinearity. Hence, evolutionary algorithms are needed to apply to get the optimum solution of the problem instead of the traditional optimization algorithms. In this work, a hybrid particle swarm optimization (HPSO) algorithm which combines the …
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Vision-guided path planning and joint configuration optimization …
The Intrinsic Shape Signatures (ISS) key point detection algorithm is used to extract weld bead features, and NURBS curves are used to fit the grinding path. 3) A pose optimization method considering robot manipulability and trajectory pose difference as the optimization objective is proposed. The remainder of this paper is organized as follows.
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An intelligent parameters optimization method of titanium …
Abrasive belt grinding is widely used in typical difficult materials such as titanium alloy, due to its lower grinding temperature and flexible machining. Processing efficiency and processing quality are the two most concerning problems. However, when enhancing processing efficiency, it is a key issue to guarantee the quality of the …
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Research and process optimization of crankshaft …
Research and process optimization of crankshaft grinding parameters based on Gaussian heat source model. ORIGINAL ARTICLE. Published: 14 March 2024. …
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Optimization of grinding process parameters using
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 …
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Component parameter optimization of strengthen …
offer quantitative tools to realize grinding optimization successfully. Considering the research results concerning waterjet grinding optimization, some original ideas focused on jet–workpiece traverse speed and abrasive grit material [1]; meanwhile, an effective optimization model of steel structure in waterjet cutting has been proposed [2].
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Process Optimization of Robotic Grinding to Guarantee …
Process Optimization of Robotic Grinding to Guarantee Material Removal Accuracy and Surface Quality Simultaneously Dingwei Li, Dingwei Li Huazhong University of Science and Technology. School of Mechanical Science and Engineering, State Key Laboratory of Intelligent Manufacturing Equipment and Technology, Huazhong University …
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Surface roughness prediction and parameters optimization in grinding
In order to improve surface quality and reduce surface roughness of integrally bladed rotors (IBRs), the optimizations of grinding and polishing process parameters, such as abrasive size, contact force, belt linear velocity, and feed rate, are carried out in this study. Firstly, the optimal range of each factor is obtained by single-factor experiment, …
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Integrated assessment and optimization of dual …
The time history and infeed path of the grinding process are shown in Fig. 2.The grinding process passes through several states as illustrated in Fig. 2 (a), e.g., standby, startup, cycled material removal (including air-cutting 1, cutting, and air-cutting 2), and shutdown. The time required in standby, startup, and shutdown states is determined …
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Grinding circuit Optimization
Grinding circuit Optimization (5 replies) l. levina pangani. 7 years ago. levina pangani 7 years ago. I want to optimize the grinding circuit so as to improve gravity and grind size. What may be the main factors should I consider in order to achieve my project. The recirculating load in the plant is 400% and type of the ore processed is the ...
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Optimization of Grinding Process Through Design of Experiment …
Optimization of Grinding Process Through Design of Experiment (DOE)—A Comparative Study. N. Alagumurthi Department of Mechanical Engineering, Pondicherry Engineering College, ... Grinding is one of the most important processes for producing discrete components with high precision, and it accounts for about 20% to …
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Optimization method and experimental research on robot belt grinding
In the actual machining process, the trajectory of industrial robot belt grinding is determined by its position and orientation. The machining principle is shown in Fig. 4a, where the grinding head moves along the planned curve points, and the contact point of the grinding head is the target point of the robot. A series of discrete points were …
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Multi-Objective Optimization for an Industrial …
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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Multiobjective Optimization of Grinding Process …
The process variables considered for optimization are wheel speed, workpiece speed, depth of dressing, and lead of dressing. The results of the algorithm …
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Optimization of Cylindrical Grinding for Material Removal …
Based on the experimental results achieved in the present study for single optimization using alloy steel EN9 for cylindrical grinding results of material removal rate, it is concluded that the depth of cut is the most significant factor by 92.05% and then least effect of cutting speed by 4.66% and feed rate by 0.94%.
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Grinding optimization | Magotteaux
The matter of grinding optimization is important in any cement plant. Controlling cost and quality of the finished products is important in staying operational. Magotteaux´s process engineers have visited literally …
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Optimization of grinding process for hard and brittle …
In this paper, the multi-step grinding process optimization method with variable grinding depth for hard and brittle materials was studied. This method was …
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Affecting factors, optimization, and suppression of grinding …
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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Development of an expert system for optimal design …
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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A study on cost optimization of internal …
Concerning the cost optimization in grinding processes, different studies have been done [19][20][21][22] [23] [24][25][26][27][28]. From the results of these studies, the models to calculate the ...
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Optimization of Grinding Efficiency in the Paint Industry
This was achieved with a consistent material weight and grinding time of 500 kg and 24 hours, respectively. New Setup: Upon adopting the HZ PLUS-30L bead mill machine, the customer achieved the same fineness in only 4 grinding cycles, maintaining the material weight and grinding time at 500 kg and 24 hours, respectively. Value Analysis:
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