Key Engineering Materials Vols. 426-427

Abstract: The service quality of transshipment logistics of container port is an important issue in the international trade container transportation industry. The aim of this paper is to construct a SERVQUAL method to evaluate the service quality of transshipment logistics of container port. This assessment model is tested by a case of the port of Kaohsiung in Taiwan. The results show that the assessment model proposed in this paper seems to be promising. Finally, some interesting conclusions and useful suggestions are given to Kaohsiung port to improve the service quality.

Abstract: In this paper, two models are founded and introduced to predict the fiber diameter of polybutylene terephthalate spunbonding nonwovens from the spunbonding process parameters. The results indicate the artificial neural network model has good approximation capability and fast convergence rate, and it can provide quantitative predictions of fiber diameter and yield more accurate and stable predictions than the mathematical statistical method. This area of research has great potential in the field of computer assisted design in spunbonding technology.

Abstract: In this paper, we investigated the knowledge modeling and proposed an ontology-based representation approach in order to support the management and re-usage of the knowledge of design. We also established the methods to classify and present the concept-design knowledge and developed an ontology-based model presenting the knowledge of design.

Abstract: In this paper, by adopting an equivalent geometry model of the cutting layer, a three-dimensional (3D) finite element model was built to investigate the milling of Ti-6Al-4V. The chip separating process was simulated by Arbitrary Lagrangian-Eulerian (ALE) method and automatic re-meshing technology. The experiments of milling Ti-6Al-4V were carried out to verify finite element model of milling process. The comparisons of the predicted cutting forces and the measured forces showed reasonable agreement. Finally, the finite element model was used to predict the chip deformation and the three-dimensional distribution of cutting force, stress and temperature in milling Ti-6Al-4V.

Abstract: Thick laser coating on sealing surface of high parameter nuclear and chemical valve have been made, And the factors that will influence layer’s cracking behavior have been analyzed including laser cladding material, technology and base metal. It is approved by experiment that the greater the energy ratio is, the lower the possibility of cracking would be. But this case may cause diluting rate of the coat increasing, grains coarsening and hardness reducing. B and Si can create hard phase, reduce coating’s plasticity, and generate segregation easily in Ni-base alloy which may cause crystal crack. The rate of coating cracking will reduce when substrate has homogeneous structure, no relict stress, no defect, good plasticity, and, its rate of heat expansion is a bit higher than clad material, heat capacity is small, shape and structure is simple and heat symmetrical characteristic is good.

Abstract: This paper develops a three-layer back-propagation artificial neural network model to analyze and predict the correlation between processing parameters and properties of the damage tolerance type titanium alloy TC21. The inputs of the ANN are working temperatures, deformation extent, deformation rate and heat treatment conditions. And the outputs are mechanical properties namely ultimate strength, yield strength, elongation, reduction of area, plane strain fracture toughness and microstructure concerned parameters such as β phase fraction, βphase grain size, substructure length and thickness. The ANN is trained with experimental data and achieves a very good performance, which has already been applied to the optimization of processing for forging of aero-parts.