Artificial Intelligence: Structures and Strategies for Complex Problem Solving (5th Edition)
Artificial Intelligence: Structures and Strategies for Complex Problem Solving (5th Edition)
Systematic geometric rigid body error identification of 5-axis milling machines
Computer-Aided Design
A decision support system for the production control of a semiconductor packaging assembly line
Expert Systems with Applications: An International Journal
Journal of Artificial Intelligence Research
An approach to temporal planning and scheduling in domains with predictable exogenous events
Journal of Artificial Intelligence Research
Expert Systems with Applications: An International Journal
An adaptive annealing genetic algorithm for the job-shop planning and scheduling problem
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
Machine tool owners require knowledge of their machine's capabilities, and the emphasis increases with areas of high accuracy manufacturing. An aspect of a machine's capability is its geometric accuracy. International Standards and best-practice guides are available to aid understanding of the required measurements and to advise on how to perform them. However, there is an absence of any intelligent method capable of optimising the duration of a calibration plan, minimising machine down-time. In this work, artificial intelligence in the form of automated planning is applied to the problem of machine tool pseudo-static geometric error calibration. No prior knowledge of Artificial Intelligence (AI) planning is required throughout this paper. The authors have written this paper for calibration engineers to see the benefits that automated planning can provide. Two models are proposed; the first produces a sequential calibration plan capable of finding the optimal calibration plan. The second model has the additional possibility of planning for concurrent measurements, adding the possibility of further reducing machine down-time. Both models take input regarding a machine's configuration and available instrumentation. The efficacy of both models is evaluated by performing a case study of a five-axis gantry machine, whereby calibration plans are produced and compared against both an academic and industrial expert. From this, the effectiveness of this novel method for producing optimal calibration plan is evaluated, stimulating potential for future work.