Applied Mechanics and Materials Vols. 101-102

Abstract: Industrial product service systems (IPSSs) are special product-service packages used to improve productivity and reduce cost in the life cycle of industrial products, where cost estimation plays a very important role in price making and cost optimization. This paper defines an IPSS for cutting tools and discusses its working modes briefly. A machining process level cost estimation scheme is then proposed for the cutting-tool IPSS. An example has been developed to illustrate the proposed approach.

Abstract: For industry cluster with multiple suppliers and multiple manufacturers, there exists a network supply-demand relationship among suppliers and manufacturers. By considering the suppliers' current available manufacturing resources, this paper proposes an order allocation model for supply chain with multi-suppliers and multi-manufacturers based on production-load equilibrium strategy. The simulation of an industrial cluster of injection molding parts with three manufacturers and five suppliers is used to verify the effectiveness of the proposed model.

Abstract: In today’s information age, the information sharing issues are widespread concerned by academia and manufacturing industry. For improving part information sharing, many researches on Part Library (Plib) have been carried out in machinery manufacturing industry. The international standard organization (ISO) has drawn the related standard for part library and recommended the so-called SM dictionary for describing parts’ properties. In this paper, a SM-Pool framework is proposed for providing the SM class information used by SML technology. The core mechanisms and service interfaces of information sharing technology are discussed, and a prototype software system has been developed for verifying the proposed framework.

Abstract: To meet the optimal selection of equipment resources in reconfigurable manufacturing environment, a target system was established to select equipment by considering equipment real time state in equipment selection. To use the existing equipment resources effectively, a resource allocation algorithm was presented to allocate resource by matching process requirements capacity and resources processing capability and taking the real-time state of manufacturing resource into consideration. This method facilitates the equipment decision-making problem, provides an effective way of selecting equipment in the reconfigurable manufacturing system.

Abstract: This paper established a mathematical model for the centralized aircraft ground deicing processes which includes preparation, deicing operations and release after the deicing. To ensure the safety of aircraft, the proposed model has taken into account the constraint that the total time of deicing processes shall be less than the retention time of the deicing fluid so as to avoid secondary icing hazards. The proposed model has been verified through numerical simulations, where a first-come-first-service scheduling scheme is assumed. Simulation results show that the proposed model matches the current status of airport deicing very well.

Abstract: Rapid access (RA) is an effective heuristic method for solving the permutation flow shop problem with the objective of makespan. This paper proposes a heuristic IRA (i.e., improved RA) for the two-stage flexible flow shop scheduling problem with head group constraint. In the heuristic IRA, two dispatch rules, i.e., earliest completion time first (ECT)) and earliest start time first (EST), are proposed for allocating devices for tasks. Benchmark testing results show that using ECT dispatch rule can significantly improve the performance of heuristic IRA. As comparison, the heuristic CDS and heuristic Palmer have also simulated under the same conditions, and the results show that the IRA is able to provide much better performance.

Abstract: The drawbead plays a very important role in automobile covering part forming processes. Traditional drawbead design mainly depends on designers’ experience. In order to obtain proper restraining force during die try-out, it is often necessary to adjust the drawbead through a very complicated procedure. It is thus meaningful to study the relationship between the parameters used to reflect metal forming effects and the geometric parameters of drawbead and then create a prediction model for them. This paper employs the radial basis function neural network technology to predict the geometric parameters of drawbead used in forming processes, where the genetic algorithm is used to optimize the neural network structure. Simulation results show that the proposed approach outperforms the curve fitting method.

Abstract: By the hybrid movement/force control policy, machining force could be controlled in aspheric surface polishing. However, the controller could not eliminate and restrain the errors of position and pose which would disturb the force controll consequentially in real system. In this paper, an angle is defined to express all the errors of position and pose for aspheric surface polishing, and the errors are modeled for machining force controll. By detecting this angle, the errors of position and pose could be used by the system controller to eliminate the disturbance in hybrid movement/force controll system and compensate feed movement controll in aspheric surface polishing. Simulation shows that the model could effectively express the errors of position and pose .

Abstract: This paper established a coordination control model for manufacturing system with three manufacturing cells. The step responses of the system under randomly selected control parameters and under empirically optimized control parameters were studied via simulations. Simulation results show that the proposed model coincides with the real-world system.

Abstract: As an advanced repair technology, the laser remanufacturing technology has been paid much more attentions recently. The authors previously studied the vision calibration by using the Matlab Calibration toolbox. Since the boundaries of a single image have to be specified manually, however, the Matlab toolbox based calibration method will be time consuming and low precision. This article continues the study of vision calibration for laser remanufacturing machine system and proposes a new binocular vision calibration method based on Halcon10.0 software. Experimental results show that the proposed calibration process consumes shorter time and is able to achieve higher precision.