scholarly journals Developing Innovative IT-Based Full Mold Casting

2008 ◽  
Vol 2 (4) ◽  
pp. 289-296 ◽  
Author(s):  
Hiroyoshi Kimura ◽  
Keyword(s):  
Information Technology ◽  
Product Quality ◽  
Cycle Time ◽  
Manufacturing Process ◽  
International Competitiveness ◽  
Polystyrene Foam ◽  
Machining Center ◽  
Mold Casting ◽  
Cad Cam

Full mold casting (FMC), an effective manufacturing process for relatively large and small lot production, fits in well with information technology (IT) because FMC uses polystyrene foam for making patterns effectively shaped using CAD/CAM and a machining center, with IT making FMC extremely powerful in production. Kimura Chuzosho Co. which has been developing FMC since 1996, established original IT-based FMC in the early 2000s, maintaining domestic and international competitiveness in product quality, price, and cycle time as detailed in the sections this follow.

Optimization on Layout and Processing Route of Dual-Robot Machining Center for Large Car Dashboard

2016 ◽  
Author(s):  
Chunping Cao ◽  
Kai Wu ◽  
Jun Wang ◽  
Yu Sun
Keyword(s):  
Cycle Time ◽  
Manufacturing Process ◽  
Ant Colony Algorithm ◽  
Processing Route ◽  
Coincidence Rate ◽  
Working Space ◽  
Machining Center ◽  
Robot Machining ◽  
Working Efficiency ◽  
Automotive Interior

The manufacturing of the large car dashboard is different from other manufacturing process for its special structure in the automotive interior field. Hole position, shape, size and distribution of the different types of large car dashboard are not in same, which make the manufacturing process more difficult and result in poor efficiency. Multi-robot machining units are introduced by enterprise to improve working efficiency and shorten the working time. In this paper, taking a typical automobile car dashboard as the processing object, the layout optimization problem of dual robot machining center for large car dashboard is studied to obtain the largest space coincidence rate of two robots and the shortest processing time. First, a dual-robot machining center for large dashboard is established. Then a genetic algorithm and an improved ant colony algorithm are used to obtain the largest space coincidence rate and the shortest cycle time. At last, the coincidence of the robot working space and the processing cycle are compared in this paper. Compared with the company’s existing working state, the coincidence working space rate has being increased by 14.6 percent, and the cycle time has being reducing by 1.2min, which demonstrates the effectiveness and feasibility of the method.

Integration of Information Technology for Manufacturing Education

2005 ◽  
Author(s):  
Joaquim De Ciurana ◽  
Maria Luisa Garcia-Romeu ◽  
Ciro A. Rodriguez ◽  
Victor Vazquez
Keyword(s):  
Information Technology ◽  
Case Studies ◽  
Manufacturing Process ◽  
General Structure ◽  
Education Curriculum ◽  
Web Based ◽  
General Process ◽  
Cad Cam ◽  
Manufacturing Education ◽  
Machining Parameter

This paper shows how information technology (IT) is integrated into the manufacturing education curriculum at the Instituto Tecnolo´gico y de Estudios Superiores de Monterrey in Mexico and the Universitat de Girona in Spain, with similar approaches that include: a) web-based manufacturing education tools, and b) advanced CAD/CAM/CAE, with emphasis on manufacturing process CAE. The paper describes the general structure of the mentioned approaches and their application through the following case studies in Spain: a) web-based machining advisor (including general process information and machining parameter specification) and Mexico: b) application of manufacturing process CAE for tooling development.

Machining Feature-Based CAD/CAPP for STEP-NC

2014 ◽  
Vol 598 ◽  
pp. 591-594 ◽  
Author(s):  
Li Yan Zhang
Keyword(s):  
Process Planning ◽  
Manufacturing Process ◽  
Data Transfer ◽  
Operation Planning ◽  
Computer Aided Process Planning ◽  
Machining Feature ◽  
Computer Aided ◽  
Cad Cam ◽  
Feature Based ◽  
Cam Systems

ISO 14649, known as STEP-NC, is new model of data transfer between CAD/CAM systems and CNC machines. In this paper, the modeling based on machining feature is proposed. The machining feature comes from the manufacturing process considering the restriction of machining technology and machining resource. Then the framework for computer aided process planning is presented, where the algorithms of operation planning is studied. The practical example has been provided and results indicate that machining feature based model can integrate with CAPP and STEP-NC seamlessly.

Optimal Parameter Design of Solder Residue in Flip Chip Process by Using Taguchi Method

2010 ◽  
Vol 443 ◽  
pp. 543-548
Author(s):  
Jian Long Kuo ◽  
Kai Lun Chao ◽  
Chun Cheng Kuo
Keyword(s):  
Taguchi Method ◽  
Product Quality ◽  
Manufacturing Process ◽  
Flip Chip ◽  
Optimal Parameter ◽  
Experimental Testing ◽  
Signal To Noise Ratio ◽  
Optimal Solution ◽  
Passive Component

Because the solder residue was found in the manufacturing process which greatly affected the product quality, the purpose of this paper was to make the product quality improved and to find an optimal solution for process parameters in the flip chip process. The experimental testing was based on SMT manufacturing process. The amount and size of solder left on passive component in the process of manufacturing were considered as the quality traits. Since too many solders left on the passive component side during flux cleaning process, it was possible that the balling would be flowed into the chip, which caused the bump short in the chip and affected the quality of the product. In this paper, orthogonal array by using Taguchi method is adopted as the effective experimental method with the least experimental runs. Also, based on the quality evaluation of signal-to-noise ratio, the ANOVA is used to evaluate the effects of quality target according to the experimental results. The results reveal that the optimization in the process is confirmed. Therefore, this study can effectively improve the solder residue in semiconductor manufacturing process.

Learning Algorithm Based Modeling and Process Parameters Recommendation System for Binder Jetting Additive Manufacturing Process

2015 ◽  
Author(s):  
Han Chen ◽  
Yaoyao F. Zhao
Keyword(s):  
Additive Manufacturing ◽  
Product Quality ◽  
Process Parameters ◽  
Manufacturing Process ◽  
Process Model ◽  
Recommendation System ◽  
Powder Materials ◽  
Quality Properties ◽  
Binder Jetting ◽  
Printing Time

Binder Jetting (BJ) process is an additive manufacturing process in which powder materials are selectively joined by binder materials. Products can be manufactured layer by layer directly from 3D model data. It is not always easy for manufacturing engineers to choose proper BJ process parameters to meet the end-product quality and fabrication time requirements. This is because the quality properties of the products fabricated by BJ process are significantly affected by the process parameters. And the relationships between process parameters and quality properties are very complicated. In this paper, a process model is developed by Backward Propagation (BP) Neural Network (NN) algorithm based on 16 groups of orthogonal experiment designed by Taguchi Method to express the relationships between 4 key process parameters and 2 key quality properties. Based on the modeling results, an intelligent parameters recommendation system is developed to predict end-product quality properties and printing time, and to recommend process parameters selection based on the process requirements. It can be used as a guideline for selecting the proper printing parameters in BJ to achieve the desired properties and help to reduce the printing time.

Sign in / Sign up

Export Citation Format

Share Document