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1

Surface Roughness Prediction in the Hardened Steel Ball-End Milling by Using the Artificial Neural Networks and Taguchi Method

Matras Andrzej

Advances in Science and Technology. Research Journal

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2024

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Vol. 18, no 1

184--194

EN

The paper provides an analysis of the impact of the values of cutting tool inclination strategies and angles measured in the parallel and perpendicular to feed direction, radial depth of cut and feedrate on the surface roughness. The workpiece was made of the AISI H13 steel, hardness 50 HRC, and was machined using a ball-nosed end mill with CBN edges. The research methodology involved experiments conducted based on the Taguchi orthogonal array, optimization of parameters with the use of Taguchi method and process modelling using neural networks. Thanks to the use of neural networks, the analyses were performed for various levels of machining efficiency, obtained as a result of different radial depths of cut and feedrates. In order to obtain mathematical models well-describing strongly nonlinear impact of the cutting tool inclination strategies and angles, a separate neural network learned for each tool inclination strategy. The prediction of results was made using a set of neural networks. The analyses and experiments resulted in surfaces with very low Ra parameter of 0.16 μm and mathematical models with a good fit to the experimental data. Values of the cutting tool inclination angle that allow obtaining the surface of specific surface roughness were specified for various levels of machining performance.

2

Experimental Investigation and Fuzzy Based Prediction of Titanium Alloy Performance During Drilling Process

Shareef Israa R., Hussein Hiba K., Mahdi Basma Luay

Advances in Science and Technology. Research Journal

|

2023

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Vol. 17, no 6

192--205

EN

Recently, titanium and its alloys have been widely used in industry. Titanium alloys are difficult to machine due to high tool wear, cutting temperature, and edge formation. Thus, this analysis predicts how machining parameters, particularly drilling parameters, affect titanium work piece integrity. This study used Taguchi and fuzzy control software to calculate the effects of cutting parameters and drill tip angle on surface roughness maximal temperature in titanium alloy workpieces during dry drilling. Three 10 mm cutting tools have 106°, 118°, and 130° tip angles. Cutting tools are made of high-speed steel. The work piece model is a parallelogram with 100mm width, 150mm length, and 30mm thickness. Cutting settings include three spindle speeds. (500, 1000, and 1500) rpm with 0.1, 0.2, and 0.3 mm/rev feed rates. All simulations have the same hole depth (4 mm). We also estimated and discussed the rate of temperature change due to cutting settings. This prediction is used to diagnose and improve drilling, increase tool life, and safeguard the work piece. This reduces titanium drilling costs and effort. The machining model's work piece temperature is influenced by spindle speed and tool tip angle, but feed rate has no effect. Drillers can optimise drilling performance and obtain desired results including efficient penetration rates, shortened drilling time, and reduced equipment failure by regulating these parameters. Fuzzy Logic predicts drilling parameters on Titanium workpieces with encouraging results.

3

Fabrication, microstructure, and machinability of aluminum metal-matrix composites

Kathiravan S., Thanigaivelan R., Suresh P.

Materials Science Poland

|

2022

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Vol. 40, No. 3

112--124

EN

Today, researchers across the world focus on sustainable products, and, accordingly, it is now imperative to develop sustainable MMCs. In line with this, ongoing experimental work aims to fabricate aluminum 6061 MMC with ground granulated blast furnace slag (GGBS) and study the micro-structural and machinability characteristics. A liquid state stir casting setup is used to melt aluminum 6061 alloy and reinforced with 2.5 wt.%, 5.0 wt.%, and 7.5 wt.% of GGBS. X-ray diffraction (XRD) studies were used to identify the chemical elements that were present in the fabricated samples. In order to observe the formation of any secondary elements, energy-dispersive X-ray spectroscopy and scanning electron microscopy (SEM) were utilized on the cast composites. Through the milling process, the influence of the GGBS reinforcement composition on the surface roughness (SR) and material removal rate (MRR) of aluminum 6061 MMC was examined, considering the parameters of spindle speed, feed rate, depth of cut, and reinforcement composition percentage. The L9 orthogonal array (OA) was used to investigate the results of the experiments, and the Taguchi technique was used to optimize the process. The best MRR value was produced by the feed rate (B3) of 260 mm3/min and the depth of cut (C3) of 0.75 mm. The study ascertained that the lower SR value is attained corresponding to a spindle speed of 1,250 rpm, a feed rate of 220 mm3/min, a depth of cut of 0.25 mm, and a reinforcement composition percentage of Al 6061 with 5% GGBS.

4

Zero Defect Manufacturing Using Digital Numerical Control

Ly Duc Minh, Bilik Peter

Management and Production Engineering Review

|

2022

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Vol. 13, No. 3

61--74

EN

This paper proposes the application of the digital numerical control (DNC) technique to connect the smart meter to the inspection system and evaluate the total harmonic distortion (THD) value of power supply voltage in IEEE 519 standard by measuring the system. Experimental design by the Taguchi method is proposed to evaluate the compatibility factors to choose Urethane material as an alternative to SS400 material for roller fabrication at the machining center. Computer vision uses artificial intelligence (AI) technique to identify object iron color in distinguishing black for urethane material and white for SS400 material, color recognition results are evaluated by measuring system, system measurement is locked when the object of identification is white material SS400. Computer vision using AI technology is also used to recognize facial objects and control the layout of machining staff positions according to their respective skills. The results obtained after the study are that the surface scratches in the machining center are reduced from 100% to zero defects and the surface polishing process is eliminated, shortening production lead time, and reducing 2 employees. The total operating cost of the processing line decreased by 5785 USD per year. Minitab 18.0 software uses statistical model analysis, experimental design, and Taguchi technical analysis to evaluate the process and experimentally convert materials for roller production. MATLAB 2022a runs a computer vision model using artificial intelligence (AI) to recognize color objects to classify Urethane and SS400 materials and recognize the faces of people who control employee layout positions according to their respective skills.

5

Zintegrowane podejście do wyboru optymalnej serii zapraw tynkarskich do izolacji

Demir Abdullah

Cement Wapno Beton

|

2022

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R. 27, nr 1

32--44

PL

W niniejszym artykule zaproponowano metodę Taguchiego do rozwiązania hierarchicznej analizy problemu decyzyjnego [Analytic Hierarchy Process - AHP] oraz metodę Simple Additive Weighting [SAW] w celu znalezienia optymalnej serii zapraw tynkarskich do izolacji, w oparciu o wiele kryteriów. Najpierw zastosowano metodę Taguchi w celu określenia planu eksperymentu z czynnikami: cementem, wapnem, dolomitem i perlitem na trzech poziomach dozowania, dla każdego z nich z ortogonalnym planem L9. Następnie, zgodnie z projektem, przeprowadzono eksperymenty metodą ultradźwiękową, określono wytrzymałość na ściskanie, przyczepność, nasiąkliwość kapilarną i przewodność cieplną. Wagi ważności kryteriów uzyskano metodą AHP, a punktację poszczególnych serii obliczono metodą SAW. Na podstawie wyników uzyskano optymalne poziomy czynników i otrzymano optymalne składy.

EN

In this study, an integrated approach by Taguchi, Analytic Hierarchy Process [AHP] and Simple Additive Weighting [SAW] method was proposed to find out the optimal insulation plaster mortar series, based on multiple criteria. Firstly, Taguchi method was applied to define the experimental design plan, with the factors of cement, lime, dolomite and perlite in three levels for each with L9 orthogonal design. Then, ultrasonic pulse velocity, compressive strength, bond strength, capillarity water absorption and thermal conductivity experiments, were made according to the design. The importance weights of criteria were obtained by AHP and the scores of the series were calculated by SAW method. The factors’ optimum levels were obtained based on the scores and the optimal series was proposed.

6

Modelling and optimization of wear parameters of Al 4032 reinforced with coal ash using Taguchi and RSM approach

Gudimetla Avinash, Lingaraju Dumpla, Sambhu Prasad S.

Composites Theory and Practice

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2021

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R. 21, nr 1-2

3--11

EN

The present study aimed to analyze the wear behaviour of composites synthesized by reinforcing Al 4032 with 2, 4, 6 wt.% of coal ash using the stir casting technique. Wear testing was performed on the composites at room temperature in the absence of lubrication using a pin-on-disc tribometer considering the process parameters as wt.% of reinforcement, speed and load. Micro structural characterization using scanning electron microscope (SEM) and energy dispersive X-ray analysis (EDX) was performed on the cast composites to ascertain the existence of the reinforcement along with its distribution in the prepared composites. The Taguchi L16 orthogonal array was utilized to design experiments to study the significance of the process parameters on the wear rate. A mathematical model was developed for the wear rate using response surface methodology (RSM). 6 wt.% reinforcement, at the speed of 100 rpm and 10 N load were the obtained optimized parameters for the minimum wear rate. Surface plots as well as contour plots were analyzed to understand the consequence of the process parameters on the wear rate. The analysis of variance (ANOVA) revealed that speed with 76.10 % was the most prominent parameter followed by load and reinforcement with 11.23 and 9.42% respectively.

7

Effect of infill and density pattern on the mechanical behaviour of ABS parts manufactured by FDM using Taguchi and ANOVA approach

Othmani M., Zarbane K., Chouaf A.

Archives of Materials Science and Engineering

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2021

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Vol. 111, nr 2

66--77

EN

Purpose: The present work aims to investigate the effect of many infill patterns (rectilinear, line, grid, triangles, cubic, concentric, honeycomb, 3D honeycomb) and the infill density on the mechanical tensile strength of an Acrylonitrile Butadiene Styrene (ABS) test specimen manufactured numerically by FDM. Design/methodology/approach: Computer-Aided Design (CAD) software has been used to model the geometry and the mesostructure of the test specimens in a fully automatic manner from a G-code file by using a script. Then, a Numerical Design of Experiments (NDoE) has been carried out by using Taguchi method and the Analysis of Variance (ANOVA). The tensile behaviour of these numerical test specimens has been studied by the Finite Element Analysis (FEA). Findings: The FEA results showed that a maximal Ultimate Tensile Strength (UTS) was reached by using the ‘concentric’ infill pattern combined with an infill density of 30%. The results also show that the infill pattern and the infill density are significant factors. Research limitations/implications: The low infill densities of 20% and 30% that have already been used in many previous studies, we have also applied it in order to reduce the time of the simulations. Indeed, with high infill density, the simulations take a very excessive time. In an ongoing study, we predicted higher percentages. Practical implications: This study provided an important modelling tool for the design and manufacture of functional parts and helps the FDM practitioners and engineers to manufacture strong and lightweight FDM parts by choosing the optimal process parameters. Originality/value: This study elucidated the effect of various infill patterns on the tensile properties of the test specimens and applied for the first time a NDoE using numerical test specimens created by the mesostructured approach, which considerably minimized the cost of the experiments while obtaining an error of 6.8% between the numerical and the experimental values of the UTS.

8

Optimizing Search Results Using Taguchi Design of Experiments: Case Study of the Distribution of COVID-19 Names in Vietnam

Hien Ton Nguyen Trong

Annals of Computer Science and Information Systems

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2021

|

Vol. 28

141--143

EN

Taguchi design of experiments is a method used in engineering, especially in the field of new product development, for optimizing production processes and improving product quality. The Taguchi method is widely used in the field of industrial engineering. The purpose of this study is to investigate the applicability of the Taguchi method for other tasks, such as optimizing search results. Using the Taguchi method, we assess the popularity of three names for COVID-19 that have been used by scientists in research related to COVID-19 in the context of Vietnam. The results show the positive value of using the Taguchi method to optimize search results. The keyword COVID-19 is found to be the most-used keyword. The results also show that disease prevention, spread, infection, transmission, treatments, preparation, and responses to the disease are particularly interesting research topics in Vietnam at present.

9

Experimental investigation of cryogenically treated HSS tool in turning on AISI1045 using fuzzy logic – Taguchi approach

Raja P., Malayalamurthi R., Sakthivel M.

Bulletin of the Polish Academy of Sciences. Technical Sciences

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2019

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Vol. 67, nr 4

687--696

EN

This work depicts the effects of deep cryogenically treated high-speed steel on machining. In recent research, cryogenic treatment has been acknowledged for improving the life or performance of tool materials. Hence, tool materials such as the molybdenum-based high-speed tool steel are frequently used in the industry at present. Therefore, it is necessary to observe the tool performance in machining; the present research used medium carbon steel (AISI 1045) under dry turning based on the L9 orthogonal array. The effect of untreated and deep cryogenically treated tools on the turning of medium carbon steel is analyzed using the multi-input-multi-output fuzzy inference system with the Taguchi approach. The cutting speed, feed rate and depth of cut were the selected process parameters with an effect on surface roughness and the cutting tool edge temperature was also observed. The results reveal that surface roughness decreases and cutting tool edge temperature increases on increasing the cutting speed. This is followed by the feed rate and depth of cut. The deep cryogenically treated tool caused a reduction in surface roughness of about 11% while the cutting tool edge temperature reduction was about 23.76% higher than for an untreated tool. It was thus proved that the deep cryogenically treated tool achieved better performance on selected levels of the turning parameters.

10

Base pressure behaviour in a suddenly expanded duct at supersonic Mach number regimes using Taguchi design of experiments

Quadros J. D., Khan S. A., Antony A. J.

Mechanics and Mechanical Engineering

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2018

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Vol. 22, nr 4

1077--1097

EN

Experimental investigations are carried out to study the control of base pressure without and with the use of micro-jets through suddenly expanded axi-symmetric passage in the supersonic regime. Four micro jets having an orifice diameter of 1mm were located at 90˚ intervals. In the base area, active controls jets have been placed on a pitch of a circle diameter that is 1.3 times the exit diameter of the nozzle. The jets were dispensed abruptly into the axi-symmetric tube maintained at a cross-sectional area of 4.84 times the exit nozzle area. The variation of base pressure as a function of flow control parameters namely Mach number, nozzle pressure ratio (NPR) and length to diameter) ratio (L=D) are evaluated experimentally. This study also assesses the impact of flow control variables on base pressure for two cases viz. with control and without control respectively. An L9 orthogonal array of Taguchi and the analysis of variance were employed to investigate the percentage of contribution of these parameters and their interactions affecting the base pressure. The correlations between the various factors affecting the base pressure were obtained by using multiple linear regression equations. Confirmation tests were conducted in order to test the developed linear regression equations for their practical significance. Both the regression models were found to be significant and reliable with a percentage deviation lying in the range of -6:12% to 10.26% for base pressure without control and -13:92% to 6.58% for base pressure with control. Analysis of variance was also performed in order to determine the statistical significance of each parameter on the total variability of base pressure. The study concluded that Mach number is the most in fluential parameter affecting base pressure followed by NPR and L=D.

11

Study of base pressure behavior in a suddenly expanded duct at supersonic Mach number regimes using statistical analysis

Quadros J. D., Khan S. A., Antony A. J.

Journal of Applied Mathematics and Computational Mechanics

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2018

|

Vol. 17, nr 4

59--72

EN

The present experimental evaluation deals with the behavior of base pressure (BP) in a suddenly expanded duct at supersonic Mach number regimes. The experiments have been conducted for two cases viz. Without and with the use of microjets or active control. The plan of experiments was planned as per Taguchi design of experiments for acquiring data in a controlled manner. An L27 orthogonal array and analysis of variance (ANOVA) has been employed to investigate the contribution (in terms of percentage) of distinct process parameters like Mach number (M), Nozzle Pressure Ratio (N), Area Ratio (A) and their interactions affecting base pressure. The correlation between these parameters affecting base pressure has been obtained using multiple linear regression analysis. It has been concluded that the Mach number and area ratio were the factors that had high statistical significance on the behavior of base pressure for both cases. The performances of the developed linear regression models have been validated for accuracy prediction by use of 15 test cases. The performance of both the base pressure models was found to be better with percentage prediction in deviation lying in the range of –12.92% to +15.88% for base pressure without control and –10.27% to +19.23% for base pressure with control.

12

Effect of temperature, load and sliding velocity on the wear behavior of AA7075-SIC composites

Shanmughasundaram P.

Mechanics and Mechanical Engineering

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2017

|

Vol. 21, nr 1

85--93

EN

Dry sliding wear behavior of a aluminum matrix reinforced with SiC composite was investigated under three different temperatures (30°C, 60°C, 90°C), three different load and sliding velocities against a EN 32 carbon steel counter face. Results showed that load and temperature have significant effect on the wear loss. Wear resistance of the composites decrease with temperature, load and sliding velocity within the observed range. Taguchi method was used to find the significance of the parameters. Analysis of variance (ANOVA) was used to investigate the influence of parameters on the wear resistance. It was found that the load was the most dominant factor influencing the wear followed by temperature and sliding velocity.

13

Statistical Optimization of a Novel Approach for the Reductive Debenzylation of 2,4,6,8,10,12-Hexabenzyl-2,4,6,8,10,12-hexaazaisowurtzitane Using Pd@SiO2 Nano Catalyst

Zarandi M., Bayat Y., Zebardasti A., Khayrabadi A. A.

Central European Journal of Energetic Materials

|

2017

|

Vol. 14, no. 4

984--995

EN

The synthesis of 2,6,8,12-tetraacetyl-4,10-dibenzyl-2,4,6,8,10,12-hexaazaisowurtzitane (TADB), from 2,4,6,8,10,12-hexabenzyl-2,4,6,8,10,12-hexaazaisowurtzitane(HBIW) is a key step in the preparation of 2,4,6,8,10,12-hexanitro-2,4,6,8,10,12-hexaazaisowurtzitane (HNIW or CL-20). In this study, a novel highly efficient nano catalyst based on Pd@SiO2 was used for the reductive debenzylation of HBIW. It is notable that an orthogonal array design OA9 was applied as a statistical optimization method for the synthesis of TADB. The current application of the Taguchi method in optimizing the experimental parameters of the TADB synthetic procedure was successful. TADB was synthesized by investigating the effect of the reaction conditions, such as catalyst percentage, time (h) and temperature (°C). The effects of these factors on the yield of TADB were evaluated quantitavely by the analysis of variance (ANOVA). The Pd@SiO2 nano catalyst, consisting of a palladium core with SiO2 monolayer shells, was synthesized and characterized by SEM, TEM and IR spectroscopy. The optimum condition indicated that the use of fresh Pd@SiO2 nano catalyst provides a high yield (90%). The use of Pd@SiO2 nano catalyst after recovery gave a yield of 65%.

14

Optimization of Drilling Process Parameters Via Taguchi, TOPSIS and RSA Techniques

Shunmugesh K., Panneerselvam K.

Archives of Metallurgy and Materials

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2017

|

Vol. 62, iss. 3

1803--1812

EN

Carbon Fiber Reinforced Polymer (CFRP) is the most preferred composite material due to its high strength, high modulus, corrosion resistance and rigidity and which has wide applications in aerospace engineering, automobile sector, sports instrumentation, light trucks, airframes. This paper is an attempt to carry out drilling experiments as per Taguchi’s L27 (313) orthogonal array on CFRP under dry condition with three different drill bit type (HSS, TiAlN and TiN). In this research work Response Surface Analysis (RSA) is used to correlate the effect of process parameters (cutting speed and feed rate) on thrust force, torque, vibration and surface roughness. This paper also focuses on determining the optimum combination of input process parameter and the drill bit type that produces quality holes in CFRP composite laminate using Multi-objective Taguchi technique and TOPSIS. The percentage of contribution, influence of process parameters and adequacy of the second order regression model is carried out by analysis of variance (ANOVA). The results of experimental investigation demonstrates that feed rate is the pre-dominate factor which affects the response variables.

15

Statistical analysis of entropy generation in longitudinally finned tube heat exchanger with shell side nanofluid by a single phase approach

Konchada P. K., Pv V., Bhemuni V.

Archives of Thermodynamics

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2016

|

Vol. 37, no. 2

3--22

EN

The presence of nanoparticles in heat exchangers ascertained increment in heat transfer. The present work focuses on heat transfer in a longitudinal finned tube heat exchanger. Experimentation is done on longitudinal finned tube heat exchanger with pure water as working fluid and the outcome is compared numerically using computational fluid dynamics (CFD) package based on finite volume method for different flow rates. Further 0.8% volume fraction of aluminum oxide (Al2O3) nanofluid is considered on shell side. The simulated nanofluid analysis has been carried out using single phase approach in CFD by updating the user-defined functions and expressions with thermophysical properties of the selected nanofluid. These results are thereafter compared against the results obtained for pure water as shell side fluid. Entropy generated due to heat transfer and fluid flow is calculated for the nanofluid. Analysis of entropy generation is carried out using the Taguchi technique. Analysis of variance (ANOVA) results show that the inlet temperature on shell side has more pronounced effect on entropy generation.

16

Skuteczność doprowadzenia cieczy obróbkowej pod ciśnieniem w procesie łamania wióra przy toczeniu wzdłużnym stopu Ti6Al4V

Słodki B., Zębala W., Struzikiewicz G.

Mechanik

|

2015

|

R. 88, nr 8-9CD2

249--257

PL

Przedstawiono rezultaty badań nad toczeniem stopu tytanu Ti6Al4V narzędziami z węglików spiekanych. Dla przyjętych wartości parametrów skrawania porównano dwa sposoby podawania cieczy obróbkowej. Konwencjonalny sposób wykorzystujący ciśnienie 7 bar porównano z systemem HPC (high pressure coolant) umożliwiającym podawanie cieczy pod ciśnieniem 70 bar. Badania wykazały użyteczność systemu HPC dla małych wartości posuwów, ponieważ wspomaga proces łamania wiórów. Zaprezentowano fotografie wiórów i analizę ich formy. Zastosowano metodę Taguchiego do wyboru optymalnego zestawu parametrów skrawania ze względu na postać wiórów.

EN

The paper presents the results of turning tests of Ti6Al4V alloy with sintered carbide tools. For selected sets of cutting data, two kinds of coolant supply were compared. Conventional coolant supply with the pressure of 7 bar was compared with HPC (High Pressure Coolant) system working with the pressure of 70 bar. The tests revealed the fact that HPC system is useful for small values of feed taking into account chip form. Photographs of chips and their form analysis are presented. Taguchi method was used to select optimal set of cutting data considering chip form.

17

Parametric Optimization and Interaction Effect of TIG Welding Parameters for Stainless Steel (SS 301) Sheets

Krishnan M. P., Sait A. N.

Mechanics and Mechanical Engineering

|

2015

|

Vol. 19, nr 2

91--101

EN

In the present work, TIG welding process parameters were optimized for joining 301 stainless–steel plates. Welding pressure, welding speed and welding temperature combinations were carefully selected with the objective of producing weld joint with maximum impact strength and hardness. Taguchi technique was applied for optimizing the selected welding parameters. The factors used in this study consisted of pressure, welding speed and welding temperature, each of which had three levels in the study. L27 orthogonal array was selected according to the aforementioned factors and levels and experimental tests were performed. Signal-to-noise (SN) ratio was used to evaluate the experimental results. The results indicate that the welding speed has the greatest influence on impact strength, followed by welding pressure and temperature. Experiments have also been conducted to validate the optimized parameters.

18

Identification of extrusion process parameters based on its response to the step function

Żelaziński T., Ekielski A.

Agricultural Engineering

|

2014

|

Vol. 18, No. 2

241--252

EN

The paper presents results of the research on the single-screw extruder strength on sudden changes of dosing raw material during the extrusion process. The tests were carried out in a short single-screw extruder KZM-2 whose relation of length to diameter of a screw was 6:1 and rotational speed was 200 rpm. Grits moistened up to 15% moisture and five disturbing samples of mass 0.2-1.2 kg prepared from the same raw material constituted a research material. Particular samples were used for disturbing a stable course of the extrusion process. Disturbance of the process consisted in fast introduction of the whole disturbing dose to the extruder input and measurement of the value of intensity change of current consumed by the extruder engine, time of return to stable conditions and changes in the image of obtained samples of extruder. Measurements of the impact of disturbance on the measured amounts were carried out for three settings of extruder performance. It was found out that a single-screw extruder at all set performances reacted with fast increase of electric current consumption; moreover, time of process stabilization changed each time. Moreover, it was reported that particular disturbing doses affected significantly the changes of quality parameters of extrudates.

PL

W pracy przedstawiono wyniki badań odporności ekstrudera jednoślimakowego na nagłe zmiany dawki podawania surowca w trakcie procesu ekstruzji. Badania przeprowadzono w krótkim ekstruderze jednoślimakowym KZM-2 o stosunku długości do średnicy ślimaka 6:1 i prędkości obrotowej 200 obr·min-1 (rpm). Materiałem badawczym była kaszka kukurydziana nawilżana do wilgotności 15% oraz pięć próbek zakłócających o masie 0,2-1,2 kg przygotowanych z tego samego surowca. Poszczególne próbki posłużyły do zakłócenia ustabilizowanego przebiegu procesu ekstruzji. Zakłócenie procesu polegało na szybkim wprowadzeniu do wejścia ekstrudera całej dawki zakłócającej i pomiarach wartości zmiany natężenia prądu pobieranego przez silnik ekstrudera, czasu powrotu do warunków stabilnych oraz zmian w obrazie otrzymanych próbek ekstrudatu. Pomiary wpływu zakłócenia na mierzone wielkości przeprowadzano dla trzech ustawień wydajności ekstrudera. Stwierdzono, że ekstruder jednoślimakowy przy wszystkich ustawionych wydajności reagował szybkim zwiększeniem poboru prądu elektrycznego, każdorazowo zmieniał się także czas ustabilizowania procesu. Zaobserwowano również, że poszczególne dawki zakłócające wpływały istotnie na zmiany parametrów jakościowych ekstrudatów.

19

Measurement of effectiveness of new products implementation process according to APQP/PPAP requirements - proposition of indices

Rewilak J., Tokaj T.

Management and Production Engineering Review

|

2012

|

Vol. 3, No. 4

69-79

EN

One of the requirements of the process approach is to identify the methods and evaluation criteria for process measurement. The effectiveness described as the ability to execute scheduled tasks and the objectives may be the measure used to evaluate processes. The article presents a few concepts of efficiency indicators that can be used in assessing the activities carried out within the framework of the implementation of new projects, according to APQP&PPAP guidelines. This paper proposes four concepts of indicators to assess the effectiveness of the above-described process, including index based on the Taguchi loss function.

20

The effects of process parameters on spindle power consumption in abrasive machining of CoCr alloy

Brazel E., Hanley R., O'Donell G. E.

Journal of Machine Engineering

|

2011

|

Vol. 11, No. 4

59--69

EN

The production environment requires seamless integration, efficiency and robustness of process monitoring solutions. This research investigates data acquisition on the machine tool through the monitoring of NC kernel data. This approach provides many advantages, particularly in an industrial setting where it may be impractical to install additional sensors for process monitoring. The process investigated is abrasive machining of Cobalt Chrome alloy. Cobalt Chrome alloys are extensively used in the biomedical industry as both femoral and tibial components of prosthetic joints. Abrasive machining or grinding is widely employed as the main method for material removal for these components. Understanding the influence of key variables in such a process is necessary before optimization can be achieved. Significant information can be obtained by utilizing power consumption during machining as a process metric. Power consumption of a spindle during an abrasive machining process of Cobalt Chrome alloy is monitored under various conditions through a machine-NC-based application. The effects of changes in feed rate, wheel speed, depth of cut and tool condition are investigated here through Taguchi experimental design. Experimental results are presented with significant machining variables identified.