Modeling, measurement and error compensation of multi-axis machine tools. Part I: theory

Rahman, Mahbubur; Heikkala, Jouko; Lappalainen, K.

doi:10.1016/s0890-6955(99)00101-7

Cited by 131 publications

(65 citation statements)

References 3 publications

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“…Choi [4] predicted the roundness error of the spindle of a three axis machine tool through a volumetric error model. Okafor [5] constructed a kinematic model of a three axis machine tool to predict the cutter tools' position and orientation error for the error compensation, and Rahman [6] constructed kinematic model of a five axis machine tool for the error measurement. The cutter tools' position and orientation error could be calculated by these researches, and it is not enough for the final machining accuracy of the workpiece.…”

Section: Review Of Related Workmentioning

confidence: 99%

Sculptured surface-oriented machining error synthesis modeling for five-axis machine tool accuracy design optimization

Mou

et al. 2016

Int J Adv Manuf Technol

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Abstract:Customer-oriented design is very important for machine tool manufacturers to win competition in the market. Mechanical parts with complicated sculptured surface are widely utilized in mechanical systems such as automobiles, aircrafts and wind turbines, and they are often machined by five-axis machine tools with high precision requirements. However traditional machine tool design has not accounted for the varied machining errors in producing complex sculptured surface, which leads to inferior performance. To address this challenge, a novel machining error synthesis model is proposed in this paper for accuracy optimization in designing general five-axis machine tools used for making various sculptured surfaces. The new synthesis model bridges between surface machining profile error and the machine tool accuracy, and it is constructed by integrating a generic machine tool volumetric error model and two new surface machining error production models. The synthesis model is then applied as a constraint in machine tool accuracy design optimization. Also a tolerance-cost function is formulated to construct the objective function, and a meta-heuristic algorithm is developed to implement the optimization. All these modeling and optimization methods are validated by one case study.

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Section: Review Of Related Workmentioning

confidence: 99%

Sculptured surface-oriented machining error synthesis modeling for five-axis machine tool accuracy design optimization

Mou

et al. 2016

Int J Adv Manuf Technol

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“…Also, the error sources usually have interacted impact on the machined profile accuracy, the error should be compensated based on the existing machine [23] and on-machine measurement [15] should be encouraged in order to improve the compensation efficiency.…”

Section: Page 4 Of 30mentioning

confidence: 99%

“…Kim et al developed a new sub-micron control algorithm in order to interpolate tool path in grinding and polishing aspheric surfaces [10]. To improve the profile accuracy through reducing the effects of tool fabrication and positioning errors and tool wear, several techniques for precise truing and dressing grinding wheels were developed [11][12][13][14], in-process measuring methods for form errors was employed [5,15] and a number of compensation approaches for tooling errors [16][17][18], tool wear [19][20][21], machine tool geometric error [22,23] and thermal effect [24,25] were proposed.…”

Section: Introductionmentioning

confidence: 99%

Fabrication of small aspheric moulds using single point inclined axis grinding

Chen

Yin

Huang

et al. 2015

Precision Engineering

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“…An alternative approach using the concept of reducing error by compensation has proven to be more effective in upgrading MAS accuracy. Several studies have focused on enhancing the accuracy through on-line monitoring and computer error prediction and correction [2] [3] [4] [5] [6]. Various approaches based on quasi-static error analysis, modelling and compensation have been proposed over the last three decades.…”

Section: Introductionmentioning

confidence: 99%

Laser Interferometer Based Measurement for Positioning Error Compensation in Cartesian Multi-Axis Systems

Echerfaoui¹,

Ouafi²,

Chebak³

2017

JASMI

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Accuracy is one of the most important key indices to evaluate multi-axis systems' (MAS's) characteristics and performances. The accuracy of MAS's such as machine tools, measuring machines and robots is adversely affected by various error sources, including geometric imperfections, thermal deformations, load effects, and dynamic disturbances. The increasing demand for higher dimensional accuracy in various industrial applications has created the need to develop cost-effective methods for enhancing the overall performance of these mechanisms. Improving the accuracy of a MAS by upgrading the physical structure would lead to an exponential increase in manufacturing costs without totally eliminating geometrical deviations and thermal deformations of MAS components. Hence, the idea of reducing MAS's error by a software-based alternative approach to provide real-time prediction and correction of geometric and thermally induced errors is considered a strategic step toward achieving the full potential of the MAS. This paper presents a structured approach designed to improve the accuracy of Cartesian MAS's through software error compensation. Four steps are required to develop and implement this approach: (i) measurement of error components using a multidimensional laser interferometer system, (ii) tridimensional volumetric error mapping using rigid body kinematics, (iii) volumetric error prediction via an artificial neural network model, and finally (iv) implementation of the on-line error compensation. An illustrative example using a bridge type coordinate measuring machine is presented.

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Modeling, measurement and error compensation of multi-axis machine tools. Part I: theory

Cited by 131 publications

References 3 publications

Sculptured surface-oriented machining error synthesis modeling for five-axis machine tool accuracy design optimization

Sculptured surface-oriented machining error synthesis modeling for five-axis machine tool accuracy design optimization

Fabrication of small aspheric moulds using single point inclined axis grinding

Laser Interferometer Based Measurement for Positioning Error Compensation in Cartesian Multi-Axis Systems

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