Sandvik invests manufacturing software

2021 ◽  
Vol 76 (2) ◽  
pp. 69
1990 ◽  
Author(s):  
James E. Crouse ◽  
James M. Sorokes

This paper presents the impeller design system developed at Dresser-Rand using Bezier polynomials in cylindrical coordinates. A discussion of the basic techniques utilized in the code is presented as are sample graphic outputs generated to aid the user in the design process. The paper also describes some of the output options and how results may be interfaced with other analytical, drafting, and manufacturing software. Comments are included regarding the increased productivity, accuracy, and quality which resulted directly from use of this code and its support routines.


Author(s):  
Alec R. Miller ◽  
Raymond J. Cipra

Abstract This paper examines the development of a networked simulation system. The Automated Robotic Manipulation (ARM) simulator is a central part of the network. This simulation tool currently assists with research and education into automated assembly. Robots, fixtures, conveyors, and parts create an automated assembly cell which is used to test advanced manufacturing software. ARM animates models of these physical components and enhances them with additional forms of three-dimensional graphical visualization. The feasibility of automated assembly can rapidly be assessed from the visual content presented by the simulator. Input formats for ARM are flexible enough to support a wide range of assembly cells and activities. Files and network transmissions customize the simulator to a particular assembly cell and its activities. The emerging assembly data protocol promotes the development of a truly integrated manufacturing system. A graphical interface complete with multiple views assists assembly cell layout and activity review, and networked operations significantly expand its role to areas such as interactive robot control and assembly preview.


Author(s):  
N. A. Fountas ◽  
A. A. Krimpenis ◽  
N. M. Vaxevanidis

In today’s modern manufacturing, software automation is crucial element for leveraging novel methodologies and integrate various engineering software environments such Computer aided design (CAD), Computer aided process planning (CAPP), or Computer aided manufacturing (CAM) with programming modules with a common and a comprehensive interface; thus creating solutions to cope with repetitive tasks or allow argument passing for data exchange. This chapter discusses several approaches concerning engineering software automation and customization by employing programming methods. The main focus is given to design, process planning and manufacturing since these phases are of paramount importance when it comes to product lifecycle management. For this reason, case studies concerning software automation and problem definition for the aforementioned platforms are presented mentioning the benefits of programming when guided by successful computational thinking and problem mapping.


Author(s):  
N. A. Fountas ◽  
N. M. Vaxevanidis ◽  
C. I. Stergiou ◽  
R. Benhadj-Djilali

Research on the area of sculptured surface machining optimization is currently directed towards the implementation of artificial intelligence techniques. This chapter aims at presenting a novel approach of optimizing machining strategies applied to manufacture complex part geometries. Towards this direction a new genetic-evolutionary algorithm based on the virus theory of evolution is developed as a hosted module to a commercial and widely known CAM system. The new genetic algorithm automatically evaluates pairs of candidate solutions among machining parameters for roughing and finishing operations so as to optimize their values for obtaining optimum machining programs for sculptured parts in terms of productivity and quality. This is achieved by introducing new directions of manipulating manufacturing software tools through programming and customization. The environment was tested for its efficiency and has been proven capable of providing applicable results for the machining of sculptured surfaces.


2016 ◽  
pp. 1628-1642 ◽  
Author(s):  
Shailendra Singh ◽  
Sunita Gond

The mission “Saving Earth” has become need of all of us to sustain life on the earth. There are many holistic approaches for Green Computing which impact on stack holders of the computing system including hardware, software and people. There are many reasons to develop green computing like environmental friendly, saving powers, long term profit, reduce pollution, power management and increasing performance etc. Approach to develop green computing can be broadly divided into four parts: hardware device manufacturing, software techniques, people awareness and standard policies.


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