Advanced Materials Research Vol. 980

Abstract: This research presents a hybrid Genetic Algorithm Neural Network (GA-NN) model to replace the physical tests procedures of Medium Density Fiberboard (MDF). Data included in the model is MDF properties and its fiber characteristics. Multilayer Perceptron (MLP) NN model is reliable to learn from seven inputs fed to the network to produce prediction of three targets. In order to avoid result from local optimum scenario, GA optimizes synaptic weights of the network towards reducing prediction error. The research used a fixed probability rates for crossover and mutation for hybrid GA-NN model. GA-NN model is further improved using adaptive mechanism to help identify the best probability rates. The fitness value refers to Sum of Squared Error. Performance comparisons are among three models; namely NN with Back Propagation (BP), hybrid GA-NN and hybrid GA-NN with adaptive mechanism. Results show the hybrid GA-NN model perform much better than NN model used with back propagation optimizer. Adaptive mechanism in GA helps increase capability to converge at zero sooner than the ordinary GA.

Abstract: The main goal of this paper is to construct a new mathematical model and study the behavior of the factors affecting the problem of knocking in internal combustion engines. Curve fitting technique was used in construction of the model, and also Akaike Information Criterion (AIC) was used as a test in choosing the best model. Factors affecting the problem of knocking have been identified through the use of test engine had promised to do so. The mathematical model was built through real data under certain conditions. Three influential factors (Temp., TPS and RPM) have been taken into consideration. Curve fitting models were used in achieving the goal and then studied the effect of one of the factors in the problem of knocking was investigated. Results obtained through the application of the new model is a low level knocking with increasing temperature (Temp) at the same points in Throttle (TPS), the Revolution Per Minute (RPM), which shows the effectiveness of the new model with non-linear behavior of the factors affecting the knock.

Abstract: This paper describes several typical RFID privacy protection protocol security methods. To improve the security of RFID protocols, which proposed in the literature and some deficiencies, propose a new time-based hash chain function. The program can be effective against security issues, such as unauthorized reading, location tracking, eavesdropping, spoofing, replay and etc. The program applies to a higher number of tags and readers, with better security and efficiency.

Abstract: The project 3D-LightTrans aims to create a highly flexible manufacturing chain for the low cost production of integral large scale 3D textile reinforced polymer composite parts. In a novel approach, multi-material semi-finished fabrics made of hybrid yarn are formed to deep draped pre-fixed multi-layered and multifunctional 3D-textile pre-forms. These are then efficiently processed into the final composite part by thermoforming. This paper presents the results achieved by the project consortium during the last three years, including the development and optimization of the individual processes for prototype production, with a focus on two selected automotive end products, and the adaption of equipment for industrial scale manufacturing.

Abstract: This paper discusses mathematical modeling process of “make or buy” decision based on a real case in a steel company in Indonesia. The company has a multi-echelon production system that consists of many plants. The plants are connected by a given predecessor-successor relation [4,8]. Each plant needs materials that can be obtained through two alternatives, namely produced internally or imported from supplier [6,10]. The objective of the model discussed in this paper is to determine optimum number of produced material and imported material that can maximize profit gained by the company. To validate the developed model, real data is collected and the model is run using Lingo software.

Abstract: The challenge for engineer’s orthopedic prosthetic rehabilitation is to find a state of the art in the field, technical or otherwise, that will help their clients who have disabilities. Organ replacement with prostheses is one of the most successful procedures until now. However prostheses are still using standard geometry that has been determined by the manufacturer of the prostheses and it becomes a problem. In addition to the design size that does not fit, long manufacturing process takes time and is expensive also being a problem. Suitability of the prostheses with the patient's body anthropometry and speed of production in the manufacture of the prostheses is very important. In manufacturing, precision and speed of manufacture of the product is something that is possible but requires a high cost, especially in the manufacture of prostheses. By using rapid prototyping technology are available, this research try to develop the customized and rapid manufacturing systems for the manufacture of prostheses, especially for Total Knee Replacement (TKR).

Abstract: Manufacturing execution system is information systems (IS) that bridges the gap between IS at the top level, namely enterprise resource planning (ERP) nd IS at the lower levels, namely the automation systems. MES has been reported to increase productivity, maintain product quality, and reduce production time. However, the advantage is obtained if MES is integrated smoothly with the other systems. Currently there is an industry standard, ISA-95, which can be used as a reference model in the process of integrating MES with ERP and automation systems. This study was undertaken to propose a methodology for MES design utilizing ISA-95 standard.The methodology is designed considering the objectives of MES development from a point of view manufacturing system and also from the point of view of information systems. Thus, challenges from two domains, namely business (manufacturing) domain and technology (IS domain) are both considered in the development of the methodology.

Abstract: The purpose of this paper is to focus on new Product Development (NPD) and Commercialization Process based on previous researches since 1963. We intend the articles to serve two major goals. Firstly, we hope that it will be useful for researchers and postgraduate students who are interesting in understanding of commercialization process for NPD. Secondly, this article is useful for R&D managers to understand how can commercialize a new product. Finally the practical implementations of each article along with its findings as major factors for impacting on NPD process are presented in a table on discussion and result part.

Abstract: Deep processing of wood raw materials is the main field of its use. The forecast of timber industry development provides deep chemical processing and start-up of board materials production. In the available forest reserves the share of pulpwood and forestry engineering raw materials is up to 13 per cent. Some measures will contribute to settle the problems of increasing wood raw material complex use and green production of board wood composite materials. They include the improvement of existing technologies and implementation of progressive technologies and systems increasing the volume and quality of board output. One of the main directions will be the maximum possible use of all components of raw materials, when some production wastes are the raw material for the manufacture of new products. This will provide the balance in efficient environmental management. The priority will be given to creation of a relatively closed cycle of wood resources use. Particularly promising in achieving a balance of economic and environmental interests of society will be obtaining of cheap boards capable to be not worse than solid wood with minimum cost of natural resources and preservation of individual properties of each component.

Abstract: This study presents the automotive instrument panel (IP) design in order to improve the quality, cost, and safety of the existing design. A few conceptual designs were generated based on safety aspect and ergonomic design. The most suitable design was selected using concepts scoring. The IP head impact simulation was conducted using finite element analysis (FEA) to predict the head injury criterion (HIC) value of the front passenger in vehicle according to ECE-R21 regulation. The finite element (FE) model, which consist of upper IP, lower IP, carrier structure and head-form, was built-up to carry out head impact analysis of the IP assembly. The optimum IP design was proposed by analysis of different materials, which are 20% talc filled rubber modified polypropylene (PP+EPDM-TD20), acrylonitrile butadiene styrene (ABS) polymer, and polypropylene (PP) copolymer. The HIC value for all IP was compared using simulation result and theoretical calculation. The lowest HIC value will reduce the head occupant injury. In this study, only the raw material cost was considered in cost evaluation. The IP from ABS polymer performed the lowest HIC value, which were 179.7 but very costly compare to other materials.