Abstract
The tool-path problem has been extensively studied in manufacturing technologies, as it has a considerable impact on production time. Additive manufacturing is one of these technologies; it takes time to fabricate parts, so the selection of optimal tool-paths is critical. This research analyzes the tool-path problem in the direct energy deposition technology; it introduces the main processes, and analyzes the characteristics of tool-path problem. It explains the approaches applied in the literature to solve the problem; as these are mainly geometric approximations, they are far from optimal. Based on this analysis, this paper introduces a mathematical framework for direct energy deposition and a novel problem called sequence strategy generation. Finally, it solves the problem using a benchmark for several different parts. The results reveal that the approach can be applied to parts with different characteristics, and the solution to the sequence strategy problem can be used to generate tool-paths.
Highlights
Many engineering problems, such as the design of machine tools, airplanes and automobiles, are multicriteria optimization problems
The manufacturing schemes for each part and the figures of the part decomposition graph (PDG) are indicated in Figures 7 and 8, respectively
This is noticeable in the graph in Figure 8(a); the graph has 24 edges, but only eight adding options are in the manufacturing scheme
Summary
Many engineering problems, such as the design of machine tools, airplanes and automobiles, are multicriteria optimization problems. A decision problem offers a set of alternatives; solving the problem requires finding the best option in the presence of certain criteria [2] This problem can be called multi-objective optimization problem, where multiple criteria must be considered to optimize the overall performance of the process [3]. The tool-path problem is an engineering problem that has been extensively studied for industrial processes [5], [6], including machining and cutting operations [7], and it can be posed as a multicriteria optimization problem. Several commercial computer-aided design (CAD)/computer-aided manufacturing (CAM) packages offer automatic torch path sequencing This problem is studied in other machining operations as well, because optimizing the process has the potential to minimize the financial and environmental costs of producing a part. It introduces a novel problem called sequence strategy generation and the problem is solved using a benchmark of parts that have different characteristics
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