Journal 

PROCEEDINGS IN MANUFACTURING SYSTEMS

 

ISSN 2343–7472

ISSN-L 2067-9238

 

 

 

 

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PROCEEDINGS

IN MANUFACTURING SYSTEMS

 

Volume 17, Issue 1,  2022

 

 

· George-Christopher VOSNIAKOS, Ioannis PIERATOS, Theodore MITROPOULOS, Panagiotis AVRAMPOS,

Preliminary investigation on undamped open loop control of a polishing jig for machining centres

 

· Georgios SOTIRCHOS, George-Christopher VOSNIAKOS,

Development of a programmable work-holding fixture for laser welding of solar absorber sheets

 

· Bruno RĂDULESCU, Laurențiu SLĂTINEANU, Mara RĂDULESCU, Adelina HRIȚUC,

Surface roughness when turning one-sheeted revolution hyperboloid surface

 

· Goran MUNĐAR, Uroš ŽUPERL,

Prediction of surface roughness in milling based on acoustic signals using different types of intelligent algorithms

 

· Uros ZUPERL, Miha KOVACIC,

Cloud-based system for surface roughness control in end-milling

 

 

 

 pp. 3-8                Image_PDF View full text

 

Preliminary investigation on undamped open loop control of a polishing jig for machining centres

George-Christopher VOSNIAKOS1,*, Ioannis PIERATOS2, Theodore MITROPOULOS3, Panagiotis AVRAMPOS4

 

1) Prof., Manufacturing Technology Laboratory, School of Mechanical Engineering, National Technical University of Athens, Athens, Greece

2) MSc graduate student, School of Mechanical Engineering, National Technical University of Athens, Athens, Greece

3) MSc graduate student, School of Mechanical Engineering, National Technical University of Athens, Athens, Greece

4) PhD Student, School of Mechanical Engineering, National Technical University of Athens, Athens, Greece

 

 

Abstract: In finishing of surfaces with variable curvature the normal force must vary to control contact pressure. In this work, a special jig that provided passive control when used on machining centers was redesigned in order to support active force control. This was achieved indirectly by controlling displacement of the spring – loaded finishing tool by means of a stepper motor and a lead screw. An open loop control system was implemented through a microcontroller and a stepper motor driver. In order to synchronize the movement of the tool along its trajectory with the spring displacement as appropriate, the necessary communication between the microcontroller and the CNC controller was implemented through a serial port. No damping has been used initially in order to investigate adequacy of friction forces to dampen oscillations. Experiments were carried out on a steel flat surface on a 3 axis machining center with different tools and polishing paste grit sizes. Experiments proved the ability of the open loop controller to follow desirable force variation patterns or two different types, namely random and sinusoidal / periodic. In both cases the mean force variation was close enough to the intended nominal one, but strong force deviations were present pointing to the need to use external damping.

 

Key words: Polishing, Active Force Control, Machining Center, Polishing Jig.

 

 

pp. 9-16               Image_PDF View full text

 

 

Development of a programmable work-holding fixture for laser welding of solar absorber sheets

Georgios SOTIRCHOS1, George-Christopher VOSNIAKOS2,*

 

1) MSc graduate student, School of Mechanical Engineering, National Technical University of Athens, Athens, Greece

2) Prof., Manufacturing Technology Laboratory, School of Mechanical Engineering, National Technical University of Athens, Athens, Greece.

 

 

Abstract: Production of solar absorbers in significant quantities relies on laser welding of large, thin, aluminum sheets. Dealing with multiple product variants requires setup time minimization of the laser welding machine while preserving product quality. A mechatronic work-holding fixture was developed as a solution to this problem. The ultimate aim is to replace the manual setup method completely. The latter was documented first, accompanied by user requirements and resulting technical specifications including geometric limits and range of motion. The proposed design was developed and optimized using CAD simulation. In addition, a software interface was designed to allow fixture configuration based on just the necessary dimensions of solar absorber variants. Fixture tests proved achievement of desired precision and substantial reduction of setup duration.

 

Key words: work-holding, programmable fixture, microcontroller, laser welding, sheet metal.

 

 

pp. 17-22             Image_PDF View fullext

 

Surface roughness when turning one-sheeted revolution hyperboloid surface

 

Bruno RĂDULESCU1, Laurențiu SLĂTINEANU2, Mara RĂDULESCU1, Adelina HRIȚUC2,*

 

1) Lecturer, Ph.D., Department of Machine Tools and Tools, “Gheorghe Asachi” Technical University of Iași, România

2) Prof., Ph.D., Department of Machine Manufacturing Technology, “Gheorghe Asachi” Technical University of Iași, România

3) Lecturer, Ph.D., Department of Machine Tools and Tools, “Gheorghe Asachi” Technical University of Iași, România

4) Ph.D. Student, Department of Machine Manufacturing Technology, “Gheorghe Asachi” Technical University of Iași, România  

 

 

Abstract: There are situations in industrial practice when parts that must have a one-sheeted revolution hyperboloid surface are necessary. Turning and milling are used as roughing processing for such surfaces. The emergence and development of numerically controlled lathes and milling machines have facilitated the machining of hyperboloidal surfaces when the mathematical function that defines the hyperbola in the axial plane of the hyperboloidal surface is available. In the case of turning and when the tool corner moves along a path in the shape of a hyperbola segment, it is found that there is a variation of the cutting speed along the path of the tool corner. This variation of the cutting speed could lead to a continuous change, within certain limits, of the values of some roughness parameters, such as, for example, the arithmetic mean deviation Ra of the assessed profile. To further investigate this variation in the value of the roughness parameter Ra when changing the cutting speed, an experimental research program was designed according to the requirements of a full factorial experiment with three independent variables and two levels of variation. As the independent variables, the corner radius of the lathe tool, the longitudinal feed rate, and the cutting speed were taken into account. Experimental tests were performed on aluminum test samples. The mathematical processing of the experimental results confirmed the variation of the size of the roughness parameter Ra along the hyperboloidal surface made by turning, mainly due to the change in the cutting speed. Among the input factors considered, it was found that the strongest influence on the size of the roughness parameter Ra is exerted by the corner radius of the lathe tool, followed by the size of the longitudinal feed.

 

Key words: hyperboloidal surface, turning, surface roughness, corner radius, feed, cutting speed, empirical mathematical model.

 

 

pp. 23-30          Image_PDF View full text

 

Prediction of surface roughness in milling based on acoustic signals using different types of intelligent algorithms

Goran MUNĐAR1,*, Uroš ŽUPERL2

 

1) MSc Eng., Researcher, Laboratory for Mechatronics, Faculty of Mechanical Engineering, University of Maribor, Maribor, Slovenia

2) Assoc. Prof., Researcher, Laboratory for Mechatronics, Faculty of Mechanical Engineering, University of Maribor, Maribor, Slovenia

 

 

Abstract: Surface roughness is playing very important role in the performance of finished part. Roughness measurements are typically done off-line after the part has already been machined, but recently the focus has changed to online monitoring. Through advancements in the fields of computers and sensors, it is now possible to measure and control the machining processes. With the advancement of artificial intelligence and intelligent algorithms new system can be build, that can describe complex, non-linear, multi-variant machining processes. The main focus of this paper is to develop three different prediction models for predicting surface roughness of machined parts during milling. Prediction models will be able to predict surface roughness based on four inputs: feed rate, spindle speed, depth of cut and vibration. For the development of different intelligent prediction models MATLAB software tool will be used. Prediction models will be based on artificial neural networks (ANN) and adaptive neuro-fuzzy inference system (ANFIS). The results of developed prediction models will be compared to statistical regression analysis results and to experimental results.

 

Key words: Machining, Milling process, Surface roughness, Artificial neural networks, ANFIS, Online monitoring system.

 

 

 

pp. 31-36             Image_PDF View full text

 

 

Cloud-based system for surface roughness control in end-milling

 

Uros ZUPERL,* 1, Miha KOVACIC2

 

1) Assoc. Prof., University of Maribor, Faculty of Mechanical Engineering, Maribor, Slovenia

2) Assoc. Prof., Štore Steel, Štore, Slovenia, University of Ljubljana, Faculty of Mechanical Engineering, Slovenia

 

 

Abstract: The main purpose of this article is to present the structure of the cloud-based platform for controlling the roughness of the machined surface. The developed system connects computing and service resources in the cloud with physical resources in the tool shop. The connection of cloud resources and physical elements was the basis for the formation of the two-stage cyber-physical roughness control system (CPrCS) for end-milling. The two-stage CPrCS with its ability to connect sensors and actuators to the cyber world is designed to maintain a constant roughness of the treated surface by digitally adjusting the cutting conditions. CPrCS with surface roughness control via cloud technologies provides a new way to identify and eliminate defects on the machined surface during the machining process. The physical part of the CPrCS system combines a machine tool, piezoelectric sensor, and industrial computer to capture and transfer obtained data to the IoT router in the cloud. The cloud system receives information from the sensor, processes the information, performs edge computing operations, analyses, and models surface roughness data, monitors the process, visualizes the data and finally makes decisions about the necessary correction of machining parameters. An artificial neural network (ANN) is used to model and predict the surface roughness accurately. The ratios between the measured cutting forces, the cutting conditions and the actual surface roughness of the machined surface were determined using ANN. In the future, the feasibility of the in-process surface quality control through cloud technologies will be tested with additional experiments.

 

Key words: machining, end milling, cloud technologies, surface roughness, control.

 

 

 

 

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