Abstract
Apart from improving motion accuracy, increasing productivity while reducing computer numerical control machine tools' carbon footprint is vital in the manufacturing industry. Several studies have proposed corner smoothing methods that improve cycle time for piecewise linear paths by exploiting axial limits to achieve time-optimal trajectories. Energy-saving is not considered an objective in these methods. This paper presents a method of generating Pareto optimal corner smoothing trajectories that trade-off the contradicting objectives of minimizing cycle time and energy consumption. The trajectories along linear paths and smoothed corners are respectively described using jerk limited acceleration profiles and kinematic corner smoothing methods. An energy consumption model of an industrial two-axis feed drive system is identified and used in solving the bi-objective optimization problem. From the resulting Pareto frontier, the best trade-off trajectory is selected as the one that minimizes both objectives. The proposed method's effectiveness is vindicated experimentally, where the best trade-off trajectory achieves respectively 65.87 % and 60.44 % of the time and energy-saving potentials.
Highlights
Computer Numerical Control (CNC) machine tools are extensively used in the manufacturing industry due to their accuracy, precision and speed in performing repetitive tasks [1]
Before formulating and solving the bi-objective optimization problem, an energy consumption model of an industrial feed drive system is identified by the least-squares estimation (LSE) method
Since the model estimates of power and energy consumption are similar to the experimental ones, the model can be used for generating energy optimal trajectories
Summary
Computer Numerical Control (CNC) machine tools are extensively used in the manufacturing industry due to their accuracy, precision and speed in performing repetitive tasks [1]. Mori et al propose a time-optimal trajectory planning method for traversing contour curves by considering second-order dynamics of feed drives [6]. Nshama et al.: Trade-off Between Energy Saving and Cycle Time Reduction by Pareto Optimal Corner Smoothing propose a time-optimal trajectory generation approach that considers actuator power limits and obstacles in a work environment [9]. This work proposes the generation and experimental verification of Pareto optimal trajectories that trade-off cycle time with energy consumption in light of the preceding. Before formulating and solving the bi-objective optimization problem, an energy consumption model of an industrial feed drive system is identified by the least-squares estimation (LSE) method. A setup for the identification experiment and its results are presented
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