Suthep Butdee

Automatic guided vehicle control by vision system

AGVs control has been developed in several types. This research aims to develop the AGVs control using image processing in order to assist AGV from losing the way when the guide line is missing. The AGV, used for experiment, has three wheels. There are one wheel at the front and another two rear wheels. The front wheel is driving and steering controlled by using DC motors on each axis. An encoder is attached on steering axis which is used to check AGV orientation angle. At two rear wheels, there are also attached encoder which is used to measuring the position of AGV for controlling distance of the AGV motion. PLC is applied for AGVs control application. Wireless color CCD camera is used to be a sensor for detection lines color that is placed on the ground which is the front side of AGV. CCD sensor is applied to navigate the detected path of traveling. Red line is constructed for AGVs path. Image processing is operated for detecting the different of guide line and background. Laplacian operator method is applied for edge detection algorithm including filter and thresholding technique. Computer program will created the virtual line by using trigonometry method and sent current position data to AGVs motion controller.

Integration matrix to support technology evolution in (re)design of complex products

This paper proposes an integrated design methodology for the (re)design of complex products to follow technology evolution. The technique is useful for developing an understanding of interactions between the components of the design. In this study, the complex product is divided in three layers; managing layer, control layer and mechanical layer. The Design Structure Matrix (DSM) is first used to model the design integration of components in each layer. The integration matrix has been developed to model the integration and the connectivity among layers. This approach would help development teams better understand the complexity of the interactions within the system studied.

How to design and process brand identity through an integrated innovative approach

Presently, the leather goods industry in Thailand is facing a severe competition. According to customers the quality and image of products from Thailand are dissatisfying. Thai products often not meet customer satisfactions and requirements mainly due to lack of identity. The research aims to evaluate the brand identity to semantics and presence of design elements, and to validate the perceived message according to what is expressed in product advertising associated with the perception of customers. This paper focuses on the analysis of customers¿ perception after the detailed design of the product. It includes 2 phases. The first phase aims to explore the customers¿ perception to product visual form of luxurious brand. The second phase aims to explore the design elements with express brand identity. This approach will lead further study in order to improving the design expression through specific design elements.

Collaborative Knowledge for Analysis Material Flow of a Complex Long Stud Using Multiple Stoke Cold Heading

Productivity Improvement is one of the most important strategies for every enterprise. Head cold forging is a widely common production process which can achieve economical processes and less energy consumption. Die is the major key of the forging process but how to perform an effective design, needs several years of experiences or using engineering tools for assistance. This paper proposes the collaborative die design and analysis by combining engineering methods and industrial experts to correct problems and to validate a new and complex design. DEFORM is used to investigate suitable parameters by guidance from the expert. One of the classical problem in the head cold forging is to make a small long complex stud. It is found from simulation that a five step of punch with suitable taper angle is the most effectiveness.

The Study of Cooling Process on Runout Table by Simulation Method

This research aims to achieving the effective cooling parameter on the runout table (ROT) of strip steel in hot rolling process. The 2-dimensional transient heat conduction is developed including the external force convection and heat source due to translational motion. The material property, boundary, and initial condition are defined and bounded to model geometry. The strip velocity, cooling water temperature, and external fluid velocity are chosen for the influent parameters during cooling process at ROT. To find the optimality of cooling operating requirement, simulation study is conducted throughout this research. To reach the objective of optimal cooling consumption at ROT, temperature distribution in the strip steel during cooling governs by the form of heat transfer equation. To solve 2-dimensional transient heat conduction by numerical methods, the backward difference formula (BDF) applies to discretization of partial differentiation equation (PDE). The parallel sparse direct linear solver (PARDISO) and conjugate gradients method are comparatively applied to computation in linear algebraic equation. The simulation studies are divided into 12 case studies with three variations subjected to cooling conditions at ROT. From simulation results, the range of such three variations can be identified in relation to economic cooling system and desired quality of products.

Estimation and control of Automatic Guided Vehicle

In this paper a control strategy of Automatic Guided Vehicle (AGV) is proposed. The structure of AGV is described. The strategy is based on two main purposes: the path is stored in the PLC memory and the vehicle displacement is calculated form the wheel rotation measurement. The control and localisation systems are developed. Reference path and observation measurement are matched. To keep track of the matching result of both positions, the estimated position information used to update the vehicles position by using the Kalman Filtering (KF) algorithm. Test performance is verified with accurate positioning control by simulation and experimentation.

A methodology for leather goods design through the emotional design approach

Abstract Customers are important people for any business. The novelty for the twenty-first century is that they mainly ask for personalized products and services. This trend leads to forced design method to create a new partnership between designers and customers when designing. Thus, it is important to work closely with customers to make sure that the products will fulfill their needs and requirements. This study proposed a methodology for leather goods design through the emotional design approach. It was based on a questionnaire. Product personality was used to evaluate how products are perceived. Data were statistically analyzed by the principal components analysis approach. Results were clustered and interpreted to explore the product attributes that were relevant to the brand personality. It can be used to guide designers designing leather bags following the brand personality and meeting requirements and perceptions of customers.

Life Prediction of a Spindle CNC Machining Centre Using Natural Frequency Method of Vibration

In the performance of a spindle CNC system, its bearings play an important role. Many problems arising in a spindle CNC operation are linked to bearing faults. In this project, the accuracy of the instruments and devices used to monitor and control the motor system is highly dependent on the dynamic performance of its bearings. Thus, fault diagnosis of a motor system is inseparably related to the diagnosis of the bearing assembly. In this paper, bearing vibration frequency features are discussed for spindle CNC of bearing fault diagnosis. This paper then presents an approach for life prediction of spindle CNC rolling bearing using nonlinear regression analysis. Vibration data are used to assist in the design for controlling and rolling bearing fault diagnosis strategies. Then our results obtained indicate that controlling and rolling bearing fault diagnosis can be effective agents in life prediction and diagnosis.

Case-Based Reasoning for Adaptive Aluminum Extrusion Die Design Together with Parameters by Neural Networks

Nowadays Aluminum extrusion die design is a critical task for improving productivity which involves with quality, time and cost. Case-Based Reasoning (CBR) method has been successfully applied to support the die design process in order to design a new die by tackling previous problems together with their solutions to match with a new similar problem. Such solutions are selected and modified to solve the present problem. However, the applications of the CBR are useful only retrieving previous features whereas the critical parameters are missing. In additions, the experience learning to such parameters are limited. This chapter proposes Artificial Neural Network (ANN) to associate the CBR in order to learning previous parameters and predict to the new die design according to the primitive die modification. The most satisfactory is to accommodate the optimal parameters of extrusion processes.

Developing coherency matrix to support design changes of complex product

In many business fields, customers have become very demanding to the point that they only ask for individualized products and services. These changes at the customers level have forced companies to react by developing new operations strategies in order to secure market shares and improve profits. New products (customized product) are often designed change or modification to existing product. Design by modification applies particularly to safety critical product where the reuse of existing working parts and subsystems can reduce cost and risk. However change is rarely a matter of just reusing or modifying parts. Changing one part can propagate through the entire design leading to costly rework of the whole product. This paper introduces tools to aid designers in understanding the potential effects of change based on studies of industrial complex product. The coherency matrix has been developed to model the integration and visualization of change propagation through system connectivity.