Optimization of the dressing parameters in cylindrical grinding based on a generalized utility function

Aleksandrova, Irina

doi:10.3901/cjme.2015.1103.130

Cited by 21 publications

(9 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is fixed on the grinding saddle of cylindrical grinder KUF 250/500. The control system of the attachment makes possible uni-directional and counter-directional dressing as well as variation of the control factors (radial feed rate f rd , dressing speed ratio q d and dress-out time t d ) within the following limits: f rd = 0.2 mm/min to 1.4 mm/min, q d = 0.2 to 0.8, t d = 1 s to 9 s. These conditions guarantee the quality of the machined surfaces and the lifetime of the dressing tool and dressed tool [25], [30], and [31].…”

Section: Equipment Materials and Methodsmentioning

confidence: 95%

“…In a previous study [25], the results of multiobjective optimization of dressing grinding wheels made of aluminium oxide by using diamond roller dressers with medium-and high-strength synthetic diamonds of АС32 and АС80 types with different grit size during rough cylindrical grinding were presented. The generalized utility function was chosen in the capacity of the optimization parameter.…”

Section: • a New Multi-objective Optimization Approach Based On A Genmentioning

confidence: 99%

See 1 more Smart Citation

Multi-Objective Optimization of the Dressing Parameters in Fine Cylindrical Grinding

Aleksandrova¹

2019

SV-JME

View full text Add to dashboard Cite

The optimum conditions of dressing grinding wheels determined and recommended in the literature are valid only for particular types and tools of dressing and grinding. In this paper an attempt has been made to optimize the dressing system parameters in fine cylindrical grinding. To define the optimum values of dressing process variables (radial in-feed of diamond roller dresser , dressing speed ratio , dress-out time , diamond roller dresser grit size/grinding wheel grit size ratio , type of synthetic diamonds and direction of dressing) a multi-objective optimization has been performed based on genetic algorithm. In the capacity of optimization parameter a generalized geometric-mean utility function has been chosen which appears to be a complex indicator characterizing the roughness and accuracy of the ground surface, grinding wheel lifetime and the manufacturing net costs of grinding operation. The optimization problem has been solved in the following sequence: 1) a model of the generalized utility function has been created reflecting the complex effect of dressing system parameters; 2) the optimum conditions of uni-directional and counter-directional dressing of aluminium oxide grinding wheels by experimental diamond roller dressers of synthetic diamonds of АС32 and АС80 types and different grit size have been determined at which the generalized utility function has a maximum; 3) Pareto optimum solution has been found (frd=0.2 mm/min; qd=0.8; td=4.65 s; qg=2.56), which guarantees the best combination between roughness and deviation from cylindricity of the ground surface, grinding wheel lifetime and the manufacturing net costs of grinding operation.

show abstract

Section: Equipment Materials and Methodsmentioning

confidence: 95%

Section: • a New Multi-objective Optimization Approach Based On A Genmentioning

confidence: 99%

Multi-Objective Optimization of the Dressing Parameters in Fine Cylindrical Grinding

Aleksandrova¹

2019

SV-JME

View full text Add to dashboard Cite

show abstract

“…Khare and Agarwal [26] developed an analytical model representing the relationship between SR and chip thickness for surface grinding of AISI 4340 steel material. Aleksandrova [27] applied generalized utility function for parametric optimization of different dressing parameters in a cylindrical grinding operation. Deng et al [28] applied genetic algorithm (GA) technique to solve a multi-objective optimization model having minimum processing time and optimal carbon efficiency as the two objectives.…”

Section: Literature Reviewmentioning

confidence: 99%

Parametric Analysis of a Grinding Process Using the Rough Sets Theory

Agarwal

Dandge²,

Chakraborty

2020

FU Mech Eng

View full text Add to dashboard Cite

With continuous automation of the manufacturing industries and the development of advanced data acquisition systems, a huge volume of manufacturing-related data is now available which can be effectively mined to extract valuable knowledge and unfold the hidden patterns. In this paper, a data mining tool, in the form of the rough sets theory, is applied to a grinding process to investigate the effects of its various input parameters on the responses. Rotational speed of the grinding wheel, depth of cut and type of the cutting fluid are grinding parameters, and average surface roughness, amplitude of vibration and grinding ratio are the responses. The best parametric settings of the grinding parameters are also derived to control the quality characteristics of the ground components. The developed decision rules are quite easy to understand and can truly predict the response values at varying combinations of the considered grinding parameters.

show abstract

“…The principle of on-line measurement is to simplify the measurement process and adjust the machining parameters in time to meet the requirements of technological procedures. In papers [2]- [6], the authors optimize the grinding process in different pairs through the optimization of parameters and a large number of experiments. In papers [7] and [8], Ying-Feng J et al point out that in the process of workpiece processing, measurement control is mainly an instrument to detect the size of workpiece in real time and control the processing process.…”

Section: Introductionmentioning

confidence: 99%

Research on Fusion Predictive Control Method of Size and Roundness in Online Grinding

Liu

Zheng

Cao

et al. 2021

Preprint

View full text Add to dashboard Cite

In order to solve the problem that the error evaluation delay and the size and roundness of workpiece can not meet the processing requirements at the same time in online measurement. First this paper proposes an online fusion control method for the size and roundness error of workpiece, which can not only improve the processing efficiency, but also improve the consistency of workpiece quality. Then, the Long Short-Term Memory(LSTM) is used to predict the workpiece information of online measurement, and the error is calibrated according to the predicted value. The LSTM is used to predict the workpiece information in real time, and the process parameters are adjusted in time when the prediction value is out of the theoretical boundary to avoid error accumulation. Finallyr the online grinding measurement experiment based on the LSTM is designed and carried out, and the relationship between the dimension of input tensor and the prediction accuracy is analyzed through the experimental results. The results show that the LSTM can accurately predict the grinding size sequence and roundness sequence, and has good universality. The small batch machining is carried out according to the experimental results. Statistical analysis shows that the grinding accuracy is significantly improved by using the fusion prediction and calibration method.

show abstract

Optimization of the dressing parameters in cylindrical grinding based on a generalized utility function

Cited by 21 publications

References 31 publications

Multi-Objective Optimization of the Dressing Parameters in Fine Cylindrical Grinding

Multi-Objective Optimization of the Dressing Parameters in Fine Cylindrical Grinding

Parametric Analysis of a Grinding Process Using the Rough Sets Theory

Research on Fusion Predictive Control Method of Size and Roundness in Online Grinding

Contact Info

Product

Resources

About