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1.
Comparison of different optimization and process control procedures
Marko Reibenschuh, Franc Čuš, Uroš Župerl, 2010, pregledni znanstveni članek

Opis: This paper includes a comparison of different optimization methods, used for optimizing the cutting conditions during milling. It includes also a part of using soft computer techniques in process control procedures. Milling is a cutting procedure dependent of a number of variables. These variables are dependent from each other in consequence, if we change one variable, the others change too. PSO and GA algorithm are applied to the CNC milling program to improve cutting conditions, improve end finishing, reduce tool wear and reduce the stress on the tool, the machine and the machined part. At the end a summary will be given of pasted and future researches.
Ključne besede: optimization, milling, cutting parameters, LENS
Objavljeno: 04.08.2017; Ogledov: 566; Prenosov: 275
.pdf Celotno besedilo (481,24 KB)
Gradivo ima več datotek! Več...

2.
Intelligent adaptive cutting force control in end-milling
Uroš Župerl, Franc Čuš, Edvard Kiker, 2006, izvirni znanstveni članek

Opis: In this article, an adaptive neural controller for the ball end-milling process is described. Architecture with two different kinds of neural networks is proposed, and is used for the on-line optimal control of the milling process. A BP neural network is used to identify the milling state and to determin the optimal cutting inputs. The feedrate is selected as the optimised variable, and the milling state is estimated by the measured cutting force. The adaptive controller is operated by a PC and the adjusted feedrates are sent to the CNC. The purpose of this article is to present a reliable, robust neural controller aimed at adaptively adjusting feed-rate to prevent excessive tool wear, tool breakage and maintain a high chip removal rate. The goal is also to obtain an improvement of the milling process productivity by the use of an automatic regulation of the cutting force. Numerous simulations are conducted to confirm the efficiency of this architecture. The proposed architecture for on-line determining of optimal cutting conditions is applied to ball end-milling in this paper, but it is obvious that the system can be extended to other machines to improve cutting efficiency.
Ključne besede: end milling, adaptive force control, neuron controller, cutting conditions, adaptive control systems
Objavljeno: 12.07.2017; Ogledov: 584; Prenosov: 100
.pdf Celotno besedilo (3,43 MB)
Gradivo ima več datotek! Več...

3.
Design and construction of the technological process of product production
Marko Drempetić, 2016, magistrsko delo

Opis: Master’s thesis contains technological procedure for developing product which includes design, making of technological documentation, choosing parameters for CNC machining, and measuring of the final product. The product from this master thesis is “Oil control block”. This is one of the parts of the high voltage switchgear GIS „Gas Insulated Switchgear“ which is used for regulation of pressure during switching. The product is made from material C45 (1.0503) according to European norm EN 10277-2-2008. The technological process is shown in spreadsheet view. Also it’s explained the workholding device and the way of using it, then it’s shown the technological documentation which follows the machining process, then the NC program and 3D model. It will be shown the CNC milling machine "Matsuura H.Plus-630 Horizontal Machining Center" and the parameters for machining process. After machining process is done the workpiece is sent to the Quality Control Department where it is checked GD&T. Dimension are controlled on 3D coordinate measurement system “FARO” then the control list is generated with the appropriate software.
Ključne besede: technological process, workpiece, milling process, G and M code, 3D Laser scanner
Objavljeno: 04.04.2016; Ogledov: 890; Prenosov: 117
.pdf Celotno besedilo (3,94 MB)

4.
Optimiranje značilnih parametrov frezanja z uporabo razvojne tehnike optimizacije jate delcev
Uroš Župerl, Franc Čuš, Valentina Gečevska, 2007, izvirni znanstveni članek

Opis: Izbira rezalnih parametrov je najpomembnejši korak pri postopku načrtovanja proizvodnje, zato izdelamo novo tehniko razvojnega računanja za optimiranje procesa odrezovanja. V prispevku je uporabljena tehnika, ki oponaša dinamiko delcev v velikih skupinah (optimizacija PSO), za učinkovito in simultano optimiranje postopkov frezanja. V omenjenih postopkih smo soočeni s problemom več ciljnih dejavnikov. Najprej uporabimo umetno nevronsko mrežo (UNM) za napovedovanje rezalnih sil, nato z algoritmom PSO pridobimo optimalno rezalno hitrost in podajanja. Cilj optimizacije je, ob upoštevanju omejitev, določiti ekstrem ciljne funkcije (napovedna površina največjih sil). Med optimizacijo delci, s svojo inteligenco, letijo po prostoru rešitev in iščejo optimalne rezalne pogoje po strategiji algoritma PSO. Rezultati pokažejo, da je integriran sistem nevronskih mrež in kolektivne inteligence učinkovita metoda pri reševanju večciljnih optimizacijskih problemov. Njena velika učinkovitost na širokem območju rezalnih parametrov potrjuje, da sistem lahko praktično uporabimo v proizvodnji. Rezultati simulacij nakazujejo, da predlagan algoritem v primerjavi z rodovnimi algoritmi (GA) in simulacijskim (SA) ohlajanjem lahko poveča natančnost rešitve in konvergenco postopka. Nova tehnika razvojnega računanja ima nekoliko prednosti ter koristi in je primerna za uporabo v kombinaciji z modeli na osnovi umetnih nevronskih vezij, pri katerih niso na voljo izrecne relacije med vhodi in izhodi. Raziskava odpre vrata na področju obdelave z odrezovanjem za nov razred optimizacijskih tehnik, ki slonijo na razvojnem računanju.
Ključne besede: odrezovanje, končno frezanje, rezalni parametri, nevronske mreže, razvojne tehnike, optimizacija jate delcev, cutting, end-milling, cutting parameters, neural networks, evolution techniques, particle swarm optimization
Objavljeno: 10.07.2015; Ogledov: 920; Prenosov: 28
URL Povezava na celotno besedilo

5.
Real-time cutting tool condition monitoring in milling
Franc Čuš, Uroš Župerl, 2011, izvirni znanstveni članek

Opis: Reliable tool wear monitoring system is one of the important aspects for achieving a self-adjusting manufacturing system. The original contribution of the research is the developed monitoring system that can detect tool breakage in real time by using a combination of neural decision system and ANFIS tool wear estimator. The principal presumption was that force signals contain the most useful information for determining the tool condition. Therefore, the ANFIS method is used to extract the features of tool states from cutting force signals. ANFIS method seeks to provide a linguistic model for the estimation of tool wear from the knowledge embedded in the artificial neural network. The ANFIS method uses the relationship between flank wear and the resultant cutting force to estimate tool wear. A series of experiments were conducted to determine the relationship between flank wear and cutting force as well as cutting parameters. Speed, feed, depth of cutting, time and cuttingforces were used as input parameters and flank wear width and tool state were output parameters. The forces were measured using a piezoelectric dynamometer and data acquisition system. Simultaneously flank wear at the cutting edge was monitored by using a tool maker's microscope. The experimental force and wear data were utilized to train the developed simulation environment based on ANFIS modelling. The artificial neural network, was also used to discriminate different malfunction states from measured signals. By developed tool monitoring system (TCM) the machining process can be on-line monitored and stopped for tool change based on a pre-set tool-wear limit. The fundamental limitation of research was to develop a single sensor monitoring system, reliable as commercially available system, but 80% cheaper than multisensor approach.
Ključne besede: end-milling, tool condition monitoring, wear estimation, ANFIS
Objavljeno: 10.07.2015; Ogledov: 1163; Prenosov: 100
URL Povezava na celotno besedilo

6.
Influence of the milling strategy on the durability of forging tools
Ivo Pahole, Dejan Studenčnik, Karl Gotlih, Mirko Ficko, Jože Balič, 2011, izvirni znanstveni članek

Opis: The quality of a tool's surface has a direct influence on the number of well-produced parts. For the machining of an active tool surface, two technological processes are used: electrical discharge machining and high-speed milling. These two processes are used when machining new tools and for the repairing of used forging tools. In both cases, the material has already been thermally treated, so it has to be used for hard milling. Practical experience shows that the milling strategy has a big influence on the durability of a forging tool. This paper shows the influence of the CNC machining direction during high-speed milling on the durability of the engraving within the forging tool. In some cases the correct milling strategy can increase the durability of the forging tool by about one third.
Ključne besede: orodja za kovanje, kakovost površine, visokohitrostno rezkanje, CNC-rezkanje, forging tools, surface quality, high speed cutting, CNC milling
Objavljeno: 10.07.2015; Ogledov: 852; Prenosov: 86
URL Povezava na celotno besedilo

7.
Using LabVIEW software for development of new data acquisition software
Marko Reibenschuh, Franc Čuš, Uroš Župerl, 2012, izvirni znanstveni članek

Opis: LabVIEW enables programing and development of different interfaces for monitoring. Because of worldwide increasing demands for condition monitoring and demands to increase productivity, a new user interface for data acquisition is developed and applied to gather data and information during cutting. Other possibilities for implementing the method into production process are also researched. To monitor a high speed process, the use of high speed camera is inevitable.. This paper presents preliminary development, tests and result.
Ključne besede: monitoring, milling, data acquisition, LabVIEW
Objavljeno: 10.07.2015; Ogledov: 709; Prenosov: 34
URL Povezava na celotno besedilo

8.
Intelligent tool path generation for milling of free surfaces using neural networks
Jože Balič, Marjan Korošec, 2002, izvirni znanstveni članek

Opis: The presented paper has an intention to show how with the help of Artificial Neural Network (ANN), the prediction of milling tool-path strategy could be made in order to establish which milling path strategy or their sequence will show the best results (will be the most appropriate) at free surface machining, according to set technological aim. In our case the best possible surface quality of machined surface was taken as the primary technological aim. Configuration of used Neural Network (NN) is presented, and the whole procedure is shown on an example of mould, for producing light switches. The verification of machined surface quality, according to average mean roughness, Ra, is also being done, and compared with the NN predicted results
Ključne besede: neural network, CAD/CAM, CAPP, ICAM, milling strategy
Objavljeno: 01.06.2012; Ogledov: 1335; Prenosov: 98
URL Povezava na celotno besedilo

9.
Prediction of surface roughness with genetic programming
Miran Brezočnik, Miha Kovačič, Mirko Ficko, 2004, izvirni znanstveni članek

Opis: In this paper we propose genetic programming to predict surface roughness in end-milling. Two independent data sets were obtained on the basis of measurement: training data set and testing data set. Spindle speed, feed rate,depth of cut, and vibrations are used as independent input variables (parameters), while surface roughness as dependent output variable. On the basis of training data set, different models for surface roughness were developed by genetic programming. Accuracy of the best model was proved with the testing data. It was established that the surface roughness is most influenced by the feed rate, whereas the vibrations increase the prediction accuracy.
Ključne besede: end milling, surface roughness, prediction of surface roughness, genetic programming
Objavljeno: 01.06.2012; Ogledov: 1322; Prenosov: 101
URL Povezava na celotno besedilo

10.
Evolutionary approach for cutting forces prediction in milling
Miha Kovačič, Jože Balič, Miran Brezočnik, 2004, izvirni znanstveni članek

Opis: Knowing cutting forces is important for choosing cutting parameters for milling. Traditionally, cutting forces are calculated by equation which includes empirically measured specific cutting forces. In the article modelling of cutting forces with genetic programming is proposed, which imitates principles of living beings. Measurements have been made for two materials (aluminium alloy AlMgSi1 and steel 1.2343) and two different types of milling (conventional milling and STEP milling). For each material and type of milling parameters, tensile strength and hardness of workpiece, tool diameter, cutting depth, spindle speed, feeding and type of milling were monitored, and for each combination of milling parameters cutting forces were measured. On the basis of the experimental data, different models for cutting forces prediction were obtained by genetic programming. Research shows that genetically developed models fit the experimental data.
Ključne besede: milling, simulation, milling cutting forces prediction, genetic programming
Objavljeno: 01.06.2012; Ogledov: 951; Prenosov: 63
URL Povezava na celotno besedilo

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