Advanced Materials Research Vol. 980

Abstract: Two-dimensional curves are represented by a list of vertices and other parameters that control the shape or curvature of the segments. In computer programming to deal with closed two-dimensional curves, it is often required to know the direction of the curve, which is reflected by the sequence of the vertex data. It can be anticlockwise or clockwise. This paper presents a robust, linear algorithm to determine the direction of a closed two-dimensional curve, by computing the total angular change of a tangent vector travelling along the curve for a complete cycle. A new, robust linear algorithm is proposed for the determination of the positional relationship of a point to a two-dimensional curve. For curves that consist of line and arc segments, which are most commonly used in engineering applications in computer aided design, the paper presents algorithms and procedures for solving the above problems.

Abstract: Speech recognition is a technology that attempts to involve audio cues during interaction with machines, instead of being limited to just visual and touch interfaces. However, a keyboard and mouse input is an archaic method of interaction, adding on to the fact that voice control is seemingly more natural. This study aims to implement speech recognition as a form of machine control to perform simple commands in a virtual simulation process. The simulation system is an in-house developed augmented reality robotic work cell which includes a robot arm, a conveyer belt, a computer numerical control (CNC) machine, and a pellet. Issuing commands are performed via the Windows Speech Recognition software built from the Microsoft Speech Application Programming Interface (SAPI). This software is advantageous because it can be fairly accurate once trained properly, is easily modifiable by anyone regardless of the operator’s programming knowledge, and is free. A macros tool is used to support the additional features of the recognition software which includes directly programmable Extensible Markup Language (XML) codes.

Abstract: In this paper a method for synthesizing Reduced Multi-Valued Logic Networks (RMVLNs) using NZMDD is presented. MVL functions represented as large MVLNs are reduced by RMVLN. The detailed working of NZMDD method is presented elaborately in this paper. It is observed that reduced average Product Term (PT) is achieved in MVL synthesis using NZMDD. Experimental analysis is carried out by examining randomly generated 49998 non-sequential benchmark circuits. An improvement average PT reduction of 12.486% is noted in comparison to evolutionary ACO-MVL algorithm.

Abstract: There is a rapid increase in global warming over the years. This follows with continues campaign on reducing the energy consumption and protecting the earth against climate change. The Feed-In Tariff (FiT) program was introduced to encourage people to use renewable energy. One of the alternative energies that has shown significant potential is solar energy, which could be harvested using the solar photovoltaic (PV) technology. This project is intended in developing an online application system to help the user in making a decision about installing a solar PV system. This system will help the user to calculate the size of solar panel that a user should install, the amount of electricity generated from the system and the profit that the user will gain after a few years in implement solar PV system in his premise (s) or house (s).

Abstract: Computer Numerical Control (CNC) controller is an important part of machine, composed of hardware and software models. Software model, usually called an interpreter translates input code as per internal structure of CNC machine. Now a day’s traditional controllers of CNC machine are found to be closed in nature, because they are depended of vendor’s specifications. Due to that dependence they do not facilitate access to the inner features of machine. In order to overcome these problems open architecture controllers were introduced. In this article a new ISO 6983 translator for open architecture CNC controller is being proposed. The developed software model is able to read commercially available Computer Aided Design (CAD) /Computer Aided Manufacturing (CAM) system generated International Standards Organization (ISO) 6983 file and extracts position, feed rate, spindle speed, tool etc data and translates to OAC machine. At the same time it is also able to generate output in user defined text and EXtensible Markup Language (.xml) formats. Further design of paper includes development of translator, followed by case study experiment and finally ends with conclusion.

Abstract: Extended Mohr–Coulomb criterion which is uncoupled, therefore the plasticity is not influenced by the damage, was selected and calibrated. Experiments on the aluminum alloy 2024-T351 were carried out. Further, the impact of the damage rule proportionality was investigated. The damage exponent was sequentially held 1, 2 and 3, respectively. Therefore, the influence of the damage rate on the damage failure in finite element simulations was examined. Numerical simulations of the tensile test of smooth and notched cylindrical specimens and flat grooved specimen were performed. It is also shown that there is inability to predict slant fracture by uncoupled models for flat grooved specimen and in the final phase of tensile tests of cylindrical specimens.

Abstract: In computer cryptography, digital signature is one of the best cryptography systems. Public-private keys are used to pass sensitive information however it can also be used to provide authentication on the particulars of a sender. Proposed algorithm is a new design and simple implementation mechanism for producing a digital signature. Some applications such as multi agent systems transferred data with small size and capacity. The new scheme minimizes the size of original file and gives us a dynamic and smaller hashed message output. In this algorithm load the original files then hashed the message and encode it with the private key of sender. Finally modify the established code into a unique digital signature at Base 16. We concentrate on designing and implementation of functions of algorithm.

Abstract: The paper deals with testing optimization methods and their setting of the parameters used to search for the global optimum of specified objective functions. The objective functions were specified considering the objectives of the discrete event simulation models. We specified the evaluation methods considering the success of finding the global optimum (or the best found objective function value) the in defined search space. We tested Random Search, Hill Climbing, Tabu Search, Local Search, Downhill Simplex, Simulated Annealing, Differential Evolution and Evolution Strategy. After the testing we proposed some slight modifications of the Downhill Simplex and Differential Evolution optimization methods.

Abstract: Causal analysis of diamond electrodeposited tools surface topography to the variation of grinding results is required to clarify the variations in grinding results of its application in ultrasonic vibration assisted grinding (UVAG) for steel mirror finishing. On the other hands, reference datum as defined by existing surface topography standard is not suitable and may lead to fruitless conclusion in relation to the DET characterization. This study aims to characterize the DET surface topography in relation to its performance in UVAG for steel mirror finishing. In this paper, samples of DET tool-work pairs are obtained from constant condition UVAG grinding test. The whole surface of DET surface topography is captured in one measurement using con-focal laser microscope and stitching toolbox. Surface Reversal Method is proposed to obtain the reference datum for the identification of active grains (diamond grains which actually involved in the grinding) on the DET working surface based on the most protruded grains from the surface. Based on the protrusion depth, this study found that only small number of grains can be considered as active grains. Then, each DET is characterized based on the distance of active grain to the tool rotational centre (active grain locus Rg). As a result, it is clarified that there is a non-linear relationship between the active grain locus Rg and work surface roughness Sq. There is an optimum size of active grain locus Rg for current grinding condition and for larger or smaller Rg, higher work roughness Sq is observed. Additionally, observation using high magnification white light interferometer on the work surface topography for each sample showed the existence of ultrasonic vibration marks with the marks wavelength consistence to the size of active grain locus Rg of the DET, which also validates the methodology used for DET characterization.

Abstract: Die-set is an essential tool accessory in sheet metal punching and blanking. The selection of the die-set represents an important activity in the die design operation. Time and money consumed in this operation could be saved by using an automated selection system for die-set components. This paper discusses an intelligent die-set selection system using the AutoCAD platform. The developed system is able to work as either standalone or connected with any die design CAD system by using the well-known AutoCAD programming tools. The proposed system is built using IF-THEN rules approach. The system code is developed using AutoCAD with Visual Basic. A data-base of Nasr Automotive Company (NASCO) for die-set was considered, from which suitable size of die-set was selected automatically. The proposed system could reduce the consumed time in the tool room department from hours to minutes and could reduce effort and cost as well.