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This study identified a number of indicators that are essential for measuring the learning effects on students involved in artificial intelligence (AI)‐based robot design. Ten experts were recruited as Delphi group members, including three mechanical engineers in the field of robot design and seven scholars from a university. The data collected from the questionnaires were analyzed using Z values from the Kolmogorov–Smirnov test. The questionnaire was used to identify assessment indicators in six dimensions: (a) Remember, (b) understand, (c) apply, (d) analyze, (e) evaluate, and (f) create. Our findings provide a valuable reference for educators in the field of engineering and technology education involved in the development of programs in AI‐based robot design.

This article applied the rigid-plastic finite element software, DEFORM TM -3D, to investigate the cutting plastic deformation behavior of 6061 aluminum alloy. The main design contained a variety of different geometric types of chip breakers for turning tools. There were three kinds of geometries for chip breakers in our design: the first one is an ordinary cutting tools provided without chip breaker, the second one is a squared concave contour, and the last one is an elliptical concave contour. For the purposes of analyzing the equivalent stress, strain, temperature, and wear of cutting tools after machining, a series of simulations were performed according to the three different geometric chip breaker designs that operated under the same turning conditions. The results of simulation analysis could assist the engineers to confirm the applicability of finite element method for cutting 6061 aluminum alloy. The article found that the squared-type chip breaker generated the maximum wear at the chip breaker area, and the elliptic chip breaker induced homogeneous wear at the tip area.

True stress-strain values were obtained from the tensile tests of 7075 aluminum alloy and finite element analysis. The results revealed that different ductile fracture criteria resulted in different accuracy of analysis. Moreover, factors affecting ductile fracture, such as effective stress, effective strain, and damage were analyzed. The maximum damage level occurred in the center, with its value reaching 0.454. The break happened in 12.9 s in the P1 point. In the P3 point, fracture was not revealed. It can be seen that the maximum damage was observed over the fracture area in the P1 point. Finite element analysis as applied to the 7075 aluminum alloy fracture criteria can be used for forging, drawing, and stamping of the materials.

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