Computer-aided planning systems for integrated electronic and mechanical design

K. Feldmann; J. Franke

doi:10.1109/33.237931

Computer-aided planning systems for integrated electronic and mechanical design

IEEE Transactions on Components Hybrids and Manufacturing Technology ◽

10.1109/33.237931 ◽

1993 ◽

Vol 16 (4) ◽

pp. 377-383 ◽

Cited By ~ 5

Author(s):

K. Feldmann ◽

J. Franke

Keyword(s):

Mechanical Design ◽

Planning Systems ◽

Computer Aided ◽

Computer Aided Planning

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Computer-Aided Planning of Manual Assembly Workplaces

CIRP Annals ◽

10.1016/s0007-8506(07)63330-7 ◽

1982 ◽

Vol 31 (1) ◽

pp. 371-375

Author(s):

H.J. Warnecke ◽

E. Haller ◽

H.J. Warnecke

Keyword(s):

Manual Assembly ◽

Computer Aided ◽

Computer Aided Planning

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MANUFACTURE OF A DIE PROTOTYPE FOR DIDACTIC PURPOSES IN MECHATRONIC ENGINEERING

Revista de Investigación Académica Sin Frontera: División de Ciencias Económicas y Sociales ◽

10.46589/rdiasf.vi33.341 ◽

2020 ◽

pp. 1-40

Author(s):

ELIEL EDUARDO MONTIJO-VALENZUELA ◽

SAUL DANIEL DURAN-JIMENEZ ◽

LUIS ALBERTO ALTAMIRANO-RÍOS ◽

JOSÉ ISAEL PÉREZ-GÓMEZ ◽

OSCAR SALMÓN-AROCHI

Keyword(s):

Mechanical Design ◽

Theoretical Calculations ◽

Low Cost ◽

Die Design ◽

Element Analysis ◽

Technological Institute ◽

Computer Aided ◽

Cad Models ◽

Functional Prototype ◽

Definition Of

The objective of this research is to manufacture a prototype of a teaching die for the specialty of precision mechanical design in mechatronic engineering, in order to achieve the skills required in unit two, regarding dies. The methodology used consists of five stages: 1. Definition of the preliminary conditions. 2. Theoretical calculations for die design. 3. Design, modeling and assembly using computer-aided software (CAD) of the parts that make up the die. 4. Validation with simulation of finite element analysis (AEF). 5. Manufacture of parts and physical assembly of the die. A functional prototype was obtained with which the teacher and student can perform calculations, designs and CAD models, AEF analysis of the static and fatigue type, manufacture of rapid prototypes using 3D printing, the identification of the parts that make up a die and their functioning. The advantage of this prototype, compared to metal die-cutting machines, is its low cost of production and manufacturing, it does not require expensive and specialized machinery for manufacturing, specific designs can be made by the students and its subsequent manufacture within the laboratories of the Technological Institute of Hermosillo.

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Are Two Heads Better Than One For Computer-Aided Design?

Journal of Mechanical Design ◽

10.1115/1.4050734 ◽

2021 ◽

pp. 1-38

Author(s):

Vrushank Phadnis ◽

Hamza Arshad ◽

David Wallace ◽

Alison Olechowski

Keyword(s):

Computer Aided Design ◽

Mechanical Design ◽

Major Effect ◽

Pair Programming ◽

Digital Modeling ◽

Computer Aided ◽

Model Instance ◽

Parallel Mode ◽

Aided Design ◽

Pair Work

Abstract With the availability of cloud-based software, ubiquitous internet and advanced digital modeling capabilities, a new potential has emerged to design physical products with methods previously embraced by the software engineering community. One such example is pair programming, where two coders work together synchronously to develop one piece of code. Pair programming has been shown to lead to higher quality code and designer satisfaction. Cutting-edge collaborative Computer-aided Design (CAD) technology affords the possibility to apply synchronous collaborative access in mechanical design. We test the generalizability of findings from the pair programming literature to the same dyadic configuration of work in CAD, which we call pair CAD. We performed human subject experiments with 60 participants to test three working styles: individuals working by themselves, pairs sharing control of one model instance and input, and pairs able to edit the same model simultaneously from two inputs. We compare the working styles on speed and quality, and propose mechanisms for our observations via interpretation of patterns of communication, satisfaction, and user cursor activity. We find that on a per-person basis, individuals were faster than pairs due to coordination and overhead inefficiencies. We find that pair work, when done with a single shared input, but not in a parallel mode, leads to higher quality models. We conclude that it is not Industry 4.0 technologies alone that influence designer output; choices regarding work process have a major effect on design outcomes, and we can tailor our process to suit project requirements.

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