Research on Manufacturing Process Traceability in Tire Enterprise

2010 ◽  
Vol 44-47 ◽  
pp. 485-488
Author(s):  
Yan Chen Gao ◽  
Dian Cai Yang ◽  
Wei Wei Ning
Keyword(s):  
Product Quality ◽  
Manufacturing Process ◽  
Process Tracing ◽  
Rfid Technology ◽  
Mapping Model ◽  
Entire Manufacturing Process

Traceability is an important function for the management of tire enterprise, and building a manufacturing process tracing system will make the contribution for the monitoring of the product quality and the confirmation of accident reason. So a tire manufacturing process tracing framework based on RFID technology was proposed combined with the characteristics of tire manufacturing. A tracing mapping model was designed for the entire manufacturing process.

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.

scholarly journals Modeling Product Manufacturing Reliability with Quality Variations Centered on the Multilayered Coupling Operational Characteristics of Intelligent Manufacturing Systems

Sensors ◽  
2020 ◽  
Vol 20 (19) ◽  
pp. 5677
Author(s):  
Anqi Zhang ◽  
Yihai He ◽  
Xiao Han ◽  
Yao Li ◽  
Xiuzhen Yang ◽  
...  
Keyword(s):  
Product Quality ◽  
Manufacturing Process ◽  
Manufacturing Systems ◽  
Coupling Effect ◽  
Intelligent Manufacturing ◽  
Intelligent Manufacturing Systems ◽  
Operational Characteristics ◽  
Product Manufacturing ◽  
Quality Variation ◽  
Variation Model

For intelligent manufacturing systems, there are many deviations in operational characteristics, and the coupling effect of harmful operational characteristics leads to the variations in quality of the work-in-process (WIP) and the degradation of the reliability of the finished product, which is reflected as a loss of product manufacturing reliability. However, few studies on the modeling of product manufacturing reliability and mechanism analysis consider the operating mechanism and the coupling of characteristics. Thus, a novel modeling approach based on quality variations centered on the coupling of operational characteristics is proposed to analyze the formation mechanism of product manufacturing reliability. First, the PQR chain containing the co-effects among the manufacturing system performance (P), the manufacturing process quality (Q), and the product manufacturing reliability (R) is elaborated. The connotation of product manufacturing reliability is defined, multilayered operational characteristics are determined, and operational data are collected by smart sensors. Second, on the basis of the coupling effect in the PQR chain, a multilayered product quality variation model is proposed by mining operational characteristic data obtained from sensors. Third, an integrated product manufacturing reliability model is presented on the basis of the variation propagation mechanism of the multilayered product quality variation model. Finally, a camshaft manufacturing reliability analysis is conducted to verify the validity of the proposed method. The method proposed in this paper proved to be effective for evaluating and predicting the product reliability in the smart manufacturing process.

scholarly journals A method of coding for aerospace product quality DNA

2018 ◽  
Vol 151 ◽  
pp. 05006
Author(s):  
Yao Jiayu
Keyword(s):  
Quality Assessment ◽  
Product Quality ◽  
Manufacturing Process ◽  
Feedback Mechanism ◽  
Quality Monitoring ◽  
The Core ◽  
Coding Method ◽  
Wall Panels ◽  
Variation Characteristics ◽  
Coding Rules

Aiming at the problem that the manufacturing process of our aerospace products is relatively discrete and the lack of appropriate quality monitoring and feedback mechanism, a method of coding for aerospace product quality DNA was proposed. Based on the structure of biological DNA and the theory of quality assessment, equipment diagnosis and quality traceability, the biological DNA structure was transformed into the structure of aerospace product quality DNA, and the concept of aerospace product quality DNA was defined, including the genetic and variation characteristics of aerospace product quality DNA. The coding rules of aerospace product quality DNA were designed, and the designed encoding rules are applied to the case of welding of wall panels in the manufacturing process of aerospace products. The results show that the coding method can monitor and feedback the core information related to quality in the manufacturing process of aerospace products.

Predictive-Inspection Based Process Control in End Milling Operations

2005 ◽  
Author(s):  
Aftab Khan ◽  
Dawn Tilbury ◽  
James Moyne
Keyword(s):  
Process Control ◽  
Product Quality ◽  
Manufacturing Process ◽  
Process Model ◽  
Manufacturing Industry ◽  
End Milling ◽  
Loop Control ◽  
Diagnostic Data ◽  
Milling Operations ◽  
Final Inspection

In the manufacturing industry, product quality control is often treated as a completely different problem than process diagnostics. Diagnostics methods are used to quickly identify faults during the process, whereas product quality is assessed at the final inspection stage, after the process is completed. The large amount of data that is collected to enable the on-line diagnostics, however, can be used to predict the product quality before the part is measured at the final inspection stage. This predicted quality can be used as feedback to a control system that improves the process quality by adjusting the process inputs. In this paper we propose a predictive inspection based process control solution for a manufacturing process. A manufacturing process is modelled as an input-output system with the machine settings as inputs and two kinds of outputs: diagnostic data and quality. This model is obtained from off-line experiments using a combination of process inputs and external disturbances. In the online implementation the predictive process model is updated with the diagnostic data collected during runtime and quality is improved by using a two-loop control strategy, on a part-to-part or run-to-run (R2R) basis. The proposed approach is applied to and developed for an end milling operation and simulation and experimental results are presented.

scholarly journals Fabrication Du Savon Kabakrou Et Ses Conséquences Sur Les Acteurs Principaux De Gbintou Dans La Commune De Bouaké (Côte d’Ivoire)

2016 ◽  
Vol 12 (32) ◽  
pp. 441
Author(s):  
Yedagne De André-Nestor
Keyword(s):  
Cote D'ivoire ◽  
Economic Activity ◽  
Manufacturing Process ◽  
Functional Organization ◽  
Raw Material ◽  
Contact Urticaria ◽  
Material Supply ◽  
Set Up ◽  
The Town ◽  
Entire Manufacturing Process

For the inhabitants of Gbintou (a district of the town of Bouaké), manufacture traditional soap, kabakrou, is the main economic activity of survival. In fact, this activity is a source of wealth, but a risky source of wealth. Indeed, the actors face many difficulties in the manufacturing process (raw material supply, health difficulties) the point of wanting to simply abandon the trade. The implementation of the socio-anthropological functionalist method and the study of this activity helped to understand that apart from raw material acquisition difficulties and illnesses it generates (contact urticaria, infections broncho lung), the company suffers from a lack of garish consequent functional organization and sanitary hygiene. Thus, it is desirable to set up an association or cooperative well equipped to train and organize stakeholders and better manage the entire manufacturing process.

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.

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