44 research outputs found
An intelligent data mining technique for product quality improvement
No full textAdvances in data mining have provided techniques for automatically discovering underlying knowledge and extracting useful information from large volumes of data. Data mining offers tools for quick discovery of relationships, patterns and knowledge in large complex databases. Application of data mining to manufacturing is relatively limited mainly because of complexity of manufacturing data. Growing self organizing map (GSOM) algorithm has been proven to be an efficient algorithm to analyze unsupervised DNA data. However, it produced unsatisfactory clustering when used on some large manufacturing data. In this paper a data mining methodology has been proposed using a GSOM tool which was developed using a modified GSOM algorithm. The proposed method is used to generate clusters for good and faulty products from a manufacturing dataset. The clustering quality (CQ) measure proposed in the paper is used to evaluate the performance of the cluster maps. The paper also proposed an automatic identification of variables to find the most probable causative factor(s) that discriminate between good and faulty product by quickly examining the historical manufacturing data. The proposed method offers the manufacturers to smoothen the production flow and improve the quality of the products. Simulation results on small and large manufacturing data show the effectiveness of the proposed method
Assessment of the influence of cultural barriers to HDR supervision of non-English speaking background (NESD) students in engineering and information technology (IT) disciplines
No full textThe paper details the results of the first phase of an on-going research into the sociocultural factors that influence the supervision of higher degrees research (HDR) engineering students in the Faculty of Built Environment and Engineering (BEE) and Faculty of Science and Technology (FaST) at Queensland University of Technology. A quantitative analysis was performed on the results from an online survey that was administered to 179 engineering students. The study reveals that cultural barriers impact their progression and developing confidence in their research programs. We argue that in order to assist international and non-English speaking background (NESB) research students to triumph over such culturally embedded challenges in engineering research, it is important for supervisors to understand this cohort's unique pedagogical needs and develop intercultural sensitivity in their pedagogical practice in postgraduate research supervision. To facilitate this, the governing body (Office of Research) can play a vital role in not only creating the required support structures but also their uniform implementation across the board
Control and path prediction of an automate guided vehicle
No full textIn this paper a control strategy of Automate Guided Vehicle (AGV) is proposed. The vehicle movement controlled by an\ud
inboard PLC do not need physical guide. The vehicle has 3 wheels. The front wheel is used for steering and driving. The 2\ud
rear wheels are free and equipped with 2 encoders. The strategy is based on 2 main purposes: the path is stored in the PLC\ud
memory and the vehicle displacement is calculated form the wheel rotation measurement. The comparison between the\ud
required path and the actual position of the AGV allow calculating deviation error. Function of this error, a correction\ud
strategy of driving speed and steering angle is applied in order to get a smooth and precise displacement. Mobile vehicles\ud
must know its position and orientation in order to movement to reach the goals precisely. We describe localization\ud
techniques for AGV that is based on the principle of Kalman Filtering (KF) algorithm estimation. This paper also addresses\ud
the problems of factory navigation and modeling with focus on keeping automatic travelling along the control path of the\ud
AGV. Position and orientation is measured by using encoder sensor on driving and steering axes. The control and\ud
localization systems are developed. Reference path and observation measurement are matched. To keep track of the\ud
matching result of both positions, the estimated position information used to update the vehicle’s position by using the\ud
Kalman Filtering (KF) algorithm. Test performance is verified with accurate positioning control by simulation and\ud
experimentation
Automotive Industrial Supply Chain Performance Evaluation under Uncertain Constraints on Cloud Computing System
No full textAdaptive Aluminum Extrusion Die Design Using Case-Based Reasoning and Artificial Neural Networks
No full textAluminum extrusion die design involves with two critical parts; die features and its parameters. Presently, die design process is performed by adaptation approach. The previous dies together with their parameters are collected and stored in a database under the well-memory organization. Case-Based Reasoning (CBR) has been applied and enhanced the design productivity. However, the CBR method has an excellent ability only that an exact or similar design features are existed. Reality, aluminum die design requires regularly changed according to the profile changes. Therefore, it needs to predict optimum parameters to assist in the process of aluminum profile extrusion. This paper presents the redesign process using adaptive method. In this case, CBR & ANN method are combined and development. The CBR uses for die feature adaptation; whereas the ANN is used for parameter adaptation and prediction to a new profile and die design. The actual production yield is given and the ANN will find the best size of billet length in order to receive the maximum yield.</jats:p
Sustainability Manufacturing Assesment using PCA for Thai SME Bus Building Companies
No full textSustainability manufacturing is indispensable to change and adapt from existing processes which enrich huge expertise. However, it needs to have prior assessment. Thai SME bus building companies are mostly established for more than 30 years of experiences. However, they still lack of competitiveness. The manufacturing process is time consuming, high costs and used extra material. This paper proposes the sustainability manufacturing assessment according to the D4S method associated by PCA tool. Five major companies in Thailand are surveyed and mapped to diagnose for sustainability level.</jats:p
Multi-criteria decision for machining process plan evaluation using fuzzy logic modeling and feature based method
No full textCooling process on a run-out table by the simulation method
No full textAbstractThis study aims to determine the effective cooling parameters for the run-out table (ROT) of strip steel in a hot rolling process. Two-dimensional transient heat conduction is developed, including the external force convection and heat source due to translational motion. The strip velocity, cooling water temperature and external fluid velocity are chosen to study the influent parameters during the cooling process. To determine 2-dimensional transient heat conduction in the cooling process of strip steel, numerical methods are applied to solve for the temperature of the strip steel with appropriate boundary conditions. The backward difference formula (BDF) applies to the discretization of a partial differentiation equation (PDE). The parallel sparse direct linear solver (PARDISO) is applied to the computation in the form of a linear algebraic equation built with the Comsol multiphysics software for the heat transfer module. The simulation studies are divided into 12 case studies with three variations subjected to cooling conditions at the ROT. From the results of the simulation study, appropriate parameters to determine the temperature required for strip steel are achieved
