Generating Multiaxis Tool Paths for Die and Mold Making with Evolutionary Algorithms

Author(s):  
Klaus Weinert ◽  
Marc Stautner
Author(s):  
Florian Bayer ◽  
Rafael Enparantza ◽  
Ronald Maier ◽  
Franz Obermair ◽  
Bernhard Schmiedinger

The die- and mold-making industry can be characterized by small and medium enterprises (SMEs), sophisticated technologies, and highly skilled employees who have to cooperate in order to fulfill orders of customers with which they are engaged in an intensive process of knowledge exchange. The knowledge-intensive production process of die and mold makers consequently requires an integrated organizational and technical solution to support the sharing of documented knowledge as well as collaboration. Standard knowledge management systems (KMS) primarily target the organization-internal processes and documented knowledge of large organizations. Know-CoM intends to overcome the limitations of these solutions and explicitly targets SMEs as well as knowledge processes that cross organizational boundaries. Know-CoM is a European Commission-funded CRAFT project that provides an advanced concept of decentralized management of access privileges to personal, protected, and public knowledge spaces. An easy-to-use solution supports the capturing of experiences. A joint knowledge structure brokers context across organizational boundaries and eases discovery of knowledge and experts. Finally, a knowledge management certification technique allows for a coordinated reuse of knowledge that is integrated with the daily work practices of die and mold makers.


2005 ◽  
Vol 21 (2) ◽  
pp. 175-183 ◽  
Author(s):  
M. Cemal Cakir ◽  
Ozgur Irfan ◽  
Kadir Cavdar

Author(s):  
Chikesh Ranjan ◽  
Hridayjit Kalita ◽  
T. Vishnu Vardhan ◽  
Kaushik Kumar

The correct selection of manufacturing conditions is one of the most important aspects to take into consideration in most manufacturing processes and, particularly, in processes related to electrical discharge machining (EDM). It is a capable of machining geometrically complex or hard material components that are precise and difficult-to-machine such as heat-treated tool steels, composites, super alloys, ceramics, carbides, heat resistant steels, etc. being widely used in die and mold making industries, aerospace, aeronautics, and nuclear industries. This chapter highlights the programming for machining in electrical discharge machine.


2011 ◽  
pp. 2712-2735
Author(s):  
Florian Bayer ◽  
Rafael Enparantza ◽  
Ronald Maier ◽  
Franz Obermair ◽  
Bernhard Schmiedinger

The die- and mold-making industry can be characterized by small and medium enterprises (SMEs), sophisticated technologies, and highly skilled employees who have to cooperate in order to fulfill orders of customers with which they are engaged in an intensive process of knowledge exchange. The knowledge-intensive production process of die and mold makers consequently requires an integrated organizational and technical solution to support the sharing of documented knowledge as well as collaboration. Standard knowledge management systems (KMS) primarily target the organization-internal processes and documented knowledge of large organizations. Know-CoM intends to overcome the limitations of these solutions and explicitly targets SMEs as well as knowledge processes that cross organizational boundaries. Know-CoM is a European Commission-funded CRAFT project that provides an advanced concept of decentralized management of access privileges to personal, protected, and public knowledge spaces. An easy-to-use solution supports the capturing of experiences. A joint knowledge structure brokers context across organizational boundaries and eases discovery of knowledge and experts. Finally, a knowledge management certification technique allows for a coordinated reuse of knowledge that is integrated with the daily work practices of die and mold makers.


CIRP Annals ◽  
2015 ◽  
Vol 64 (1) ◽  
pp. 455-458 ◽  
Author(s):  
Aydin Nassehi ◽  
Wesley Essink ◽  
Jack Barclay

2019 ◽  
Vol 11 (01) ◽  
pp. 1-7
Author(s):  
Roni Kusnowo ◽  
Kus Hanaldi

Animal feed knife is a tool that serves to cut and chop animal feed consisting of grass as the main ingredient with additives such as bran, herbs, centrate, cassava, tofu pulp and others. Therefore, as a cutting tool must have the properties of friction resistance, impact resistance, and have good sharpness, so that the material chosen is Ni-Hard 1. The use of centrifugal casting method was chosen because it has the advantage of being able to make castings with relatively thin thickness this is due to the influence of the centrifugal force on the distribution of metal liquids throughout the cavity in the mold. Case study in this study is the use of centrifugal casting methods as an alternative to gravity casting methods to overcome defects of misruns. This research was conducted to investigate the effect of speed on the formation of castings products. The method that was carried out began with a literature study on centrifugal casting, and continued by determining the material, the temperature of the cast is in the range 1250ºC - 1300ºC, and the type of mold. The next step is to do work drawings, pattern making, mold making, casting processes, fettling processes, and analysis. With variations in speed of 200 rpm, 300 rpm and 400 rpm, it can be seen the optimal speed for making this product. The results of this study obtained optimal speed at a speed of 300 rpm to make good quality of animal feed knife products.


2020 ◽  
Vol 2020 (1) ◽  
pp. 105-108
Author(s):  
Ali Alsam

Vision is the science that informs us about the biological and evolutionary algorithms that our eyes, opticnerves and brains have chosen over time to see. This article is an attempt to solve the problem of colour to grey conversion, by borrowing ideas from vision science. We introduce an algorithm that measures contrast along the opponent colour directions and use the results to combine a three dimensional colour space into a grey. The results indicate that the proposed algorithm competes with the state of art algorithms.


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