THE EFFECT OF CUTTER PATH STRATEGIES ON SURFACE ROUGHNESS WHEN MACHINING TITANIUM ALLOY

The article deals with the comparison and evaluation of finishing cutter path strategies when applied to one of the difficult to cut material such as Ti-alloy. The titanium alloy has been increasingly used for high performance application for oil and gas, aerospace, energy, medical and automotive industries. The importance of milling strategies outgoing from their impact on the economic aspects of production, realized using CNC machines. A planar sample was designed for the purposes of the experiment, enabling finishing cutter path strategies for shaped surfaces. Three cutting strategies were involved and compared- spiral, constant Z and line feed. For assessment of the effect of the cutting strategies three different feed rate were used. Comparison of simulated cutter path strategies and machined surface were visually inspected as well as measured surface roughness were evaluated. The constant Z cutting path strategy was found as suitable cutting strategy from point of view of surface roughness.

Device Simulation of The GeSe Homojunction And vdW GeSe/GeTe Heterojunction TFETs For High-Performance Application

Compared with a 2D homogeneous channel, the introduction of a 2D/2D homojunction or heterojunction is a promising method to promote the performance of a TFET mainly by controlling the tunneling barrier. We simulate the 10-nm-Lg double-gated GeSe homojunction TFETs and vdW GeSe/GeTe heterojunction TFETs using the ab initio quantum transport calculations. Two constructions are considered for both the homojunction and heterojunction TFETs by placing the BL GeSe and vdW GeSe/GeTe heterojunction as the source or drain while the channel and the remaining drain or source use ML GeSe. The on-state current (Ion) of the optimal n-type BL-ML GeSe source homojunction TFET and the optimal p-type vdW GeSe/GeTe drain heterojunction TFET are 2320 and 2387 μA μm-1, respectively, which are 50% and 64% larger than Ion of the ML GeSe homogeneous TFET. Inspiringly, the device performances (Ion, intrinsic delay time τ, and power delay product PDP) of both the optimal n-type GeSe homojunction and p-type vdW GeSe/GeTe heterojunction TFETs meet the requirement of the International Roadmap for Device and Systems high-performance device for the year of 2034 (2020 version).

BCH Encoder and Decoder for Emerging Memories

In this paper, an encoder and decoder system is proposed using Bose-Chaudhuri-Hocquenghem (BCH) double-error-correcting and triple-error detecting (DEC-TED) with emerging memories of low power and high decoding efficiency. An adaptive error correction technique and an invalid transition inhibition technique is enforced to the decoder. This is to improve the decoding efficiency and reduce the power consumption and delay. The adaptive error correction gives high decoding efficiency and invalid transition technique reduce the power consumption issue in conventional BCH decoders. The DEC-TED BCH decoder combines these two techniques by using a specific Error Correcting Code Clock and Flip Flops. This technique provides an error correcting encoder and decoder solution for low power and high-performance application using emerging memories. The design simulated in Xilinx FPGA using ISE Design Suite 14.5.

TESTING VULKAN VISUALIZATION FOR GEOMODELS ON SYSTEMS WITH GRAPHIC PROCESSORS FOR RAY TRACING

This paper describes the development of a high-performance application for representing twodimensional and three-dimensional results of numerical calculations in graphical form. Two visualization modules developed on the basis of different methods for translating a three-dimensional model into a twodimensional image are compared. Vulcan technologies and rasterization and Ray Tracing algorithms are used for model visualization, and comparative analyses of the operation of two applications in different conditions are performed. The developed visualization modules can be used to display the results of numerical mathematical modeling on three-dimensional grids.