Surface Roughness Prediction Using Circular Interpolation Based on Artificial Neural Network in Milling Operation
Surface Roughness Prediction Using Circular Interpolation Based on Artificial Neural Network in Milling Operation

Maan Aabid Tawfiq; Ahmed A.A. Duroobi; Safaa K. Ghazi

Volume 34, 5A , May 2016, , Page 983-998

https://doi.org/10.30684/etj.34.5A.15

Abstract
  This paper presents a method togenerate tool path and get G-codes for complex shapes depending on mathematical equations without using the package programs that use linear interpolation. ...  Read More ...
Step over Estimation for Tool Path Generation Depending on Inclination Angle
Step over Estimation for Tool Path Generation Depending on Inclination Angle

Ahmed A.A.Duroobi

Volume 31, Issue 9 , June 2013, , Page 1640-1657

https://doi.org/10.30684/etj.2013.82180

Abstract
  This research presents the theoretical model, simulation and experimental verification of the maximum stepover estimation for different cases on the machine surface profile using the ...  Read More ...
Inverse Kinematics-Based Trajectory Generation For Robot-Assisted 3D Surface Machining
Inverse Kinematics-Based Trajectory Generation For Robot-Assisted 3D Surface Machining

Wissam K. Hamdan Sarraji

Volume 28, Issue 9 , April 2010, , Page 1735-1746

https://doi.org/10.30684/etj.28.9.4

Abstract
  Machining and tracking of 3D surfaces using industrial robot is not a newmethod, but the new in this paper is the use of simple trigonometric relations inthe calculations of robots ...  Read More ...
Automatic Tool Path Generation for Parametric Surfaces in Terms of Bezier Patches
Automatic Tool Path Generation for Parametric Surfaces in Terms of Bezier Patches

Tahseen Fadhil Abbas

Volume 27, Issue 4 , March 2009, , Page 641-653

https://doi.org/10.30684/etj.27.4.2

Abstract
  The objective aim of this paper is to develop an algorithm that generate NC toolpath for parametric surfaces based on the accuracy of a desired surface. A designedsurface is represented ...  Read More ...