Machine Tool Reliability: Lad/Machine

Novel approach for machine tool maintenance modelling and optimization using fleet system architecture

This paper proposes a novel Reliability Associated Cost (RAC) model for machine tools throughout its lifetime that considers two different failure consequences, immediate failure and product rejections increase failure. A maintenance strategy of corrective maintenance combined with overhaul utilized to the maintenance activities of machine tools in the current paper. Markov reward approach is developed for computing of the costs incurred by both failure consequences and maintenance activities and system average availability throughout the machine tools life cycle. The Genetic Algorithm is used to find the optimal repair rates layout and overhaul moments that provide a minimal expected cost of system operation and maintenance actions and satisfies the desired availability requirement. A numerical example is presented in order to illustrate the approach and the results show that the proposed technique can significantly cut the RAC for machine tools.

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Markov Reward Approach and Reliability Associated Cost Model for Machine Tools Maintenance-Planning Optimization

In order to overcome the problem that the existing methods of compiling load spectrum of spindle or machine tool mainly aim at the cutting force spectrum, torque spectrum and speed spectrum, respectively, which ignore the connection between each spectrum, in this paper, a method for compiling drilling load spectrum of motorized spindle in CNC machine tool based on the characteristics of drilling force is proposed. Firstly, drilling tests under different processing technologies are carried out to measure its load, and the correction coefficient in the empirical formula of drilling force is obtained through fitting the measured drilling force, which makes the calculation of the axial force and torque more reasonable. Secondly, compared with the extended factor method, the transcendental probability method is optimized to solve the ultimate load of the axial force. Then, after setting the axial force as the main load of drilling, an eight-stage load spectrum for the main load is compiled. Finally, according to the relationship between the axial force and other loads, the eight-stage loading spectrum is transformed into a multidimensional drilling load spectrum. 

/pdf/compilation-of-drilling-load-spectrum-based-on-the-f5r4y95x.pdf

Compilation of drilling load spectrum based on the characteristics of drilling force

Globally, the manufacturing industry is gearing up for the next level of industrial revolution, and it is called smart manufacturing or Industry 4.0. This chapter aims to discuss various aspects of performability for next-generation manufacturing systems. “Intelligence” is identified as an essential dimension of performability for such systems. Various elements of this new dimension are discussed, and the associated technologies are mapped. New business models that utilize the performability of the next-generation manufacturing systems are presented. Finally, a new philosophy, namely, “Manufacturing by Mass,” is built to capitalize the full potential of intelligent factories.

Machine Tool Reliability: Lad/Machine

Citations

Novel approach for machine tool maintenance modelling and optimization using fleet system architecture

Markov Reward Approach and Reliability Associated Cost Model for Machine Tools Maintenance-Planning Optimization

Compilation of drilling load spectrum based on the characteristics of drilling force

Performability Considerations for Next-Generation Manufacturing Systems

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