D. Kramar, J. Kopač, Faculty of Mechanical Engineering, University of Ljubljana, Ljubljana, Slovenia M. Sekulić, Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia Z. Jurković, Faculty of Engineering, University of Rijeka, Rijeka, Croatia Due to their mechanical, thermal and chemical properties, nickel-based alloys are generally included among materials that are hard to mac...

During product design, the design office defines dimensional and geometrical parameters according to the use criteria and product functionality. The manufacturing department must integrate the manufacturing and the workpiece position dispersions during the choice of tools and the machine operating modes and parameter values to respect the functional constraints. In this article, the authors sug...

Although adaptive control (AC) systems for machine tools have a tremendous potential for improving productivity in manufacturing, their acceptance by industry has been slow. This paper identifies the major research and development areas for AC machine tools, and summarizes the principal developments of the last two decades. Current research at The University of Michigan, which is aimed at the d...

We present a system that automatically turns the pages of the music score for musicians during a performance. It is based on a new algorithm for following an incoming audio stream in real time and aligning it to a music score (in the form of a synthesized audio file). Precision and robustness of the algorithm are quantified in systematic experiments, and a demonstration using an actual page tur...

Video image detection systems (VIDS) provide an opportunity to analyse complex traffic scenes that are captured by stationary video cameras. Our work concentrates on the derivation of traffic relevant parameters from vehicle trajectories. This paper examines different procedures for the description of vehicle trajectories using analytical functions. Derived conical sections (circles, ellipses a...

In this paper, the design and implementation of an effective neural network model for turning process identification as well as a neural network controller to track a desired vibration level of the turning machine is as an example of using the neural network for manufacturing process control. Multi – Layer Perceptron (MLP) neural network architecture with Levenberg Marquardt (LM) algorithm has ...

Thermal error significantly impacts the machining precision of machine-tools. deformations in machine-tool structure caused by various machine heat sources is at origin this phenomenon. In order to ensure expected quality parts, manufacturer have run machine-tools for hours before start producing reach thermal stability. This heating phase has a high negative impact on productivity one hand and...

This paper describes the implementation of an integrated monitoring system for a CNC machine tool and its machining processes such as drilling, milling, turning and grinding. The monitoring system uses a variety of sensors such as force, torque, vibration, acoustic emission, and temperature to monitor the machining processes and the physical condition of the machine tool. The major aim is to im...

Determination of optimal conditions of machining parameters is important to reduce the production cost and achieve the desired surface quality. This paper investigates the influence of cutting parameters on surface roughness and natural frequency in turning of aluminum alloy AA2024. The experiments were performed at the lathe machine using two different cutting tools made of AISI 5140 and carbi...