scholarly journals A method for optimizing PERC cells in industrial production lines using final IV parameters, statistical procedures and numerical device modeling

2018 ◽  
Author(s):  
Pietro P. Altermatt ◽  
Yang Yang ◽  
Yun Sheng ◽  
Daming Chen ◽  
Yifeng Chen ◽  
...  
Keyword(s):  
Industrial Production ◽  
Device Modeling ◽  
Production Lines ◽  
Statistical Procedures ◽  
Numerical Device

Improving the annealing regime for flat glass on industrial production lines

1978 ◽  
Vol 35 (12) ◽  
pp. 717-719
Author(s):  
N. V. Lalykin ◽  
A. S. Makhnavetskii ◽  
N. N. Troshin
Keyword(s):  
Industrial Production ◽  
Flat Glass ◽  
Production Lines ◽  
Annealing Regime

Dynamics Analyses of Rigid-Flexible Coupling of Spot-Welding Robot

2020 ◽  
Vol 19 (04) ◽  
pp. 855-867
Author(s):  
Xiangru Wang ◽  
Wei Song ◽  
Tao Xue ◽  
He Tian
Keyword(s):  
Industrial Production ◽  
Spot Welding ◽  
Maximum Stress ◽  
Three Dimensional ◽  
Welding Robot ◽  
Three Dimensional Model ◽  
Production Lines ◽  
Flexible Coupling ◽  
Simulation Functions ◽  
Dynamics Analyses

With the development of electronics, mechanical automation, computer and other related disciplines, and the improvement of product efficiency and quality in modern industry, welding robots are born and play an increasingly important role in industrial production lines. 6R welding robot is most commonly used in industrial production lines, so the research on 6R welding robot has practical application values. In this paper, MS165 Yaskawa robot is selected as the target robot. SolidWorks software is used to establish the three-dimensional model of Yaskawa robot, which is imported into Adams. Dynamics analyses of the rigid–flexible coupling system of 6R spot welding robot are studied by powerful dynamic simulation functions of Adams. The maximum stress position of the spot-welding robot working under load is also studied, and the maximum stress curve is obtained.

Simulation of a Flexible Manufacturing System for Semi-Products Packaging

2014 ◽  
Vol 536-537 ◽  
pp. 1654-1657 ◽  
Author(s):  
Paul Ciprian Patic ◽  
Lucia Pascale ◽  
Gabriela Măntescu
Keyword(s):  
Industrial Production ◽  
Flexible Manufacturing ◽  
Manufacturing System ◽  
Flexible Manufacturing System ◽  
Human Intervention ◽  
Production Lines ◽  
High Productivity ◽  
Control Programs ◽  
Automation Systems ◽  
Modern Solution

In this paper one proposed to exemplify a modern solution of an automatic control of industrial production lines. The necessity to align at the requirements of industrial competition has led to a degree of automation of increasingly advanced that the human intervention into the processes is minimal. A high productivity means lower flow interruptions as manufacturing, so the systems which control these lines must operate without errors. This can be done only by testing control programs and monitoring automation systems and, also, through simulate the manufacturing process.

Simulation and optimization of industrial production lines

2018 ◽  
Vol 66 (4) ◽  
pp. 320-330 ◽  
Author(s):  
Claudio Santo Longo ◽  
Cesare Fantuzzi
Keyword(s):  
Industrial Production ◽  
Production Efficiency ◽  
Integrated Approach ◽  
Optimization Techniques ◽  
Production Lines ◽  
Virtual Design ◽  
Design And Optimization ◽  
Simulation And Optimization ◽  
Production Parameters ◽  
Virtual Commissioning

Abstract Simulation and optimization techniques are the pillars of for the Virtual Commissioning of modern digital factories. In particular, industrial production lines are complex systems formed by a set of machines that have several cross-dependencies (i. e., the production efficiency of a machine impact deeply performance figures of the others and affects the whole line productivity). The simulation and optimization of production lines is an integrated approach that allows finding efficiently optimized production parameters. This paper presents an example of application of the simulation to the virtual design and optimization of an industrial production line.

Numerical Device Modeling, Analysis, and Optimization of Extended-SWIR HgCdTe Infrared Detectors

2016 ◽  
Vol 45 (9) ◽  
pp. 4654-4662 ◽  
Author(s):  
J. Schuster ◽  
R. E. DeWames ◽  
E. A. DeCuir ◽  
E. Bellotti ◽  
N. Dhar ◽  
...  
Keyword(s):  
Infrared Detectors ◽  
Device Modeling ◽  
Modeling Analysis ◽  
Numerical Device

scholarly journals Semiconductor Device Modeling and Simulation for Electronic Circuit Design

2020 ◽  
Author(s):  
Samira Shamsir ◽  
Md Sakib Hasan ◽  
Omiya Hassan ◽  
Partha Sarathi Paul ◽  
Md Razuan Hossain ◽  
...  
Keyword(s):  
Electronic Circuit ◽  
Semiconductor Device ◽  
Numerical Models ◽  
Empirical Modeling ◽  
Device Modeling ◽  
Semiconductor Device Modeling ◽  
Modeling Approaches ◽  
Modeling Approach ◽  
Numerical Device ◽  
Device Operation

This chapter covers different methods of semiconductor device modeling for electronic circuit simulation. It presents a discussion on physics-based analytical modeling approach to predict device operation at specific conditions such as applied bias (e.g., voltages and currents); environment (e.g., temperature, noise); and physical characteristics (e.g., geometry, doping levels). However, formulation of device model involves trade-off between accuracy and computational speed and for most practical operation such as for SPICE-based circuit simulator, empirical modeling approach is often preferred. Thus, this chapter also covers empirical modeling approaches to predict device operation by implementing mathematically fitted equations. In addition, it includes numerical device modeling approaches, which involve numerical device simulation using different types of commercial computer-based tools. Numerical models are used as virtual environment for device optimization under different conditions and the results can be used to validate the simulation models for other operating conditions.

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