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Wyświetlanie 1-15 z 61
Tytuł:
An Efficient MEMS Sensor Modelling by Geometrical Parameter Optimization
Autorzy:
Kulkarni, Vaishali Sanjay
Chorage, Suvarna Sandip
Powiązania:
https://bibliotekanauki.pl/articles/2055266.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
virtual IDE modelling
MEMS
sensor optimization
ANSYS modeling and applications
Opis:
Numerous technological applications use MEMS capacitive sensing technique as a major component, because of their ease of fabrication process, inexpensive and high sensitivity. The paper aims at modeling interdigitated capacitive (IDC) sensing. Virtually observe the contribution of variations in geometrical parameters to sensor efficiency and optimization factor. The sensor design is verified through ANSYS simulations. Results indicate “an efficient but poorly optimized sensor is better than a well-optimized sensor”. It is difficult to detect capacitance in the range of few pF generated using capacitive sensing. How it can be maximized with dimension optimization is focused in this paper.
Źródło:
International Journal of Electronics and Telecommunications; 2022, 68, 2; 287--291
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Process parameter optimization of Laser Micrometallurgy of AZ31 alloy
Autorzy:
Pawlak, A.
Chlebus, E.
Powiązania:
https://bibliotekanauki.pl/articles/1190023.pdf
Data publikacji:
2015
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
SLM
stop magnezu
projektowanie eksperymentu
porowatość
magnesium alloy
design of experiments
porosity
Opis:
This paper presents process optimization results of laser powder micrometallurgy of AZ31 alloy, for eliminating porosity in melted material. Full factorial design of three factors at three levels was conducted, and the influence of laser beam power, point distance and exposure time was examined.
Źródło:
Interdisciplinary Journal of Engineering Sciences; 2015, 3, 1; 10--15
2300-5874
Pojawia się w:
Interdisciplinary Journal of Engineering Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Survey on multi-objective based parameter optimization for deep learning
Autorzy:
Chakraborty, Mrittika
Pal, Wreetbhas
Bandyopadhyay, Sanghamitra
Maulik, Ujjwal
Powiązania:
https://bibliotekanauki.pl/articles/27312917.pdf
Data publikacji:
2023
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
deep learning
multi-objective optimization
parameter optimization
neural networks
Opis:
Deep learning models form one of the most powerful machine learning models for the extraction of important features. Most of the designs of deep neural models, i.e., the initialization of parameters, are still manually tuned. Hence, obtaining a model with high performance is exceedingly time-consuming and occasionally impossible. Optimizing the parameters of the deep networks, therefore, requires improved optimization algorithms with high convergence rates. The single objective-based optimization methods generally used are mostly time-consuming and do not guarantee optimum performance in all cases. Mathematical optimization problems containing multiple objective functions that must be optimized simultaneously fall under the category of multi-objective optimization sometimes referred to as Pareto optimization. Multi-objective optimization problems form one of the alternatives yet useful options for parameter optimization. However, this domain is a bit less explored. In this survey, we focus on exploring the effectiveness of multi-objective optimization strategies for parameter optimization in conjunction with deep neural networks. The case studies used in this study focus on how the two methods are combined to provide valuable insights into the generation of predictions and analysis in multiple applications.
Źródło:
Computer Science; 2023, 24 (3); 327--359
1508-2806
2300-7036
Pojawia się w:
Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Research and Parameter Optimization of the Infrared Sensor for Eye Track
Autorzy:
Życzkowski, M.
Szustakowski, M.
Różanowski, K.
Murawski, K.
Karol, M.
Markowski, P.
Powiązania:
https://bibliotekanauki.pl/articles/1418088.pdf
Data publikacji:
2012-11
Wydawca:
Polska Akademia Nauk. Instytut Fizyki PAN
Tematy:
42.30.Wb
87.57.-s
42.79.Qx
Opis:
This paper presents infrared sensor for eye tracking system for ophthalmology and truck drivers. System is based on camera and near infrared diode illuminator. We present test results of sensor detection at different operating parameters. Tests were chosen so as to see how the sensor behaves in difficult conditions, additionally tested whether long-term operation of the sensor has an impact on the examined person.
Źródło:
Acta Physica Polonica A; 2012, 122, 5; 942-945
0587-4246
1898-794X
Pojawia się w:
Acta Physica Polonica A
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Classification techniques and parameter optimization of Cyclone Continuous Centrifugal Separator for hematite ore
Autorzy:
Zhang, Pei
Xie, Haiyun
Jin, Yanling
Chen, Jialing
Zeng, Peng
Li, Yuanhong
Chen, Luzheng
Liu, Dianwen
Powiązania:
https://bibliotekanauki.pl/articles/2200335.pdf
Data publikacji:
2023
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
hematite
Cyclonic Continuous Centrifugal Separator
CCCS
classification
Response Surface Methodology
Opis:
The Cyclonic Continuous Centrifugal Separator (CCCS) is a new type of separation equipment developed based on cyclonic continuous centrifugal separation technology and combined with the separation principle of the fluidized bed. Taking hematite as the research object, the main parameters and conditions of the best hematite classification were determined through the classification test by using CCCS. Based on the classification test, the significance order of each process parameter and their interaction with hematite classification efficiency of the underflow products was analyzed with the Response Surface Methodology, the optimal process parameter of hematite classification was obtained and a multiple regression equation was established. The optimized process conditions were as follows, feeding pressure 55.48 kPa, backwash pressure 9.79 kPa, and underflow pressure 31.94 kPa. Under these conditions, the average hematite ore classification efficiency of coarse fraction (-2~+0.15mm), medium fraction (-0.15~+0.074mm) and fine fraction (-0.074mm) were 85.08%, 65.10% and 51.41%, respectively, and the relative errors with the predicted values were 1.6%, 4.0% and 2.5%, respectively. The results showed that the analytical model has good predictive performance. This research provides a certain prospect for the application of Cyclonic Continuous Centrifugal Separation to hematite ore classification. it provides a reference for the application of the Response Surface Methodology in the classification of hematite by Cyclonic Continuous Centrifugal Separation.
Źródło:
Physicochemical Problems of Mineral Processing; 2023, 59, 1; art. no. 158864
1643-1049
2084-4735
Pojawia się w:
Physicochemical Problems of Mineral Processing
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Research and Parameter Optimization of the Pattern Recognition Algorithm for the Eye Tracking Infrared Sensor
Autorzy:
Murawski, K.
Różanowski, K.
Krej, M.
Powiązania:
https://bibliotekanauki.pl/articles/1399388.pdf
Data publikacji:
2013-09
Wydawca:
Polska Akademia Nauk. Instytut Fizyki PAN
Tematy:
07.05.Pj
02.60.Pn
Opis:
The paper presents the process and results of tests of the pattern recognition algorithm. The algorithm has been developed for the sensor to track the activity of the eyes. The study was conducted on a group of ten people. The group was selected, so that it was possible to determine the influence of gender, age, eye color, contact lenses and glasses on the result of the algorithm. The object of the study was also to optimize the pattern recognition algorithm in terms of CPU utilization. For this purpose the duration of the algorithm steps were measured as a function of the allocation of tasks to multiple processor cores.
Źródło:
Acta Physica Polonica A; 2013, 124, 3; 513-516
0587-4246
1898-794X
Pojawia się w:
Acta Physica Polonica A
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Nonlinear PID controller parameter optimization using modified hybrid artificial bee colony algorithm for continuous stirred tank reactor
Autorzy:
Pugazhenthi, Nedumal
Selvaperumal, S.
Vijayakumar, K.
Powiązania:
https://bibliotekanauki.pl/articles/2128163.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
artificial bee colony
stirred tank reactor
genetic algorithm
nonlinear PID
controller performance measures
sztuczna kolonia pszczół
reaktor zbiornikowy z mieszadłem
algorytm genetyczny
PID nieliniowy
miernik wydajności kontrolera
Opis:
The artificial bee colony (ABC) algorithm is well known and widely used optimization method based on swarm intelligence, and it is inspired by the behavior of honeybees searching for a high amount of nectar from the flower. However, this algorithm has not been exploited sufficiently. This research paper proposes a novel method to analyze the exploration and exploitation of ABC. In ABC, the scout bee searches for a source of random food for exploitation. Along with random search, the scout bee is guided by a modified genetic algorithm approach to locate a food source with a high nectar value. The proposed algorithm is applied for the design of a nonlinear controller for a continuously stirred tank reactor (CSTR). The statistical analysis of the results confirms that the proposed modified hybrid artificial bee colony (HMABC) achieves consistently better performance than the traditional ABC algorithm. The results are compared with conventional ABC and nonlinear PID (NLPID) to show the superiority of the proposed algorithm. The performance of the HMABC algorithm-based controller is competitive with other state-of-the-art meta-heuristic algorithm-based controllers in the literature.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2021, 69, 3; e137348, 1--10
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Nonlinear PID controller parameter optimization using modified hybrid artificial bee colony algorithm for continuous stirred tank reactor
Autorzy:
Pugazhenthi, Nedumal
Selvaperumal, S.
Vijayakumar, K.
Powiązania:
https://bibliotekanauki.pl/articles/2173628.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
artificial bee colony
stirred tank reactor
genetic algorithm
nonlinear PID
controller performance measures
sztuczna kolonia pszczół
reaktor zbiornikowy z mieszadłem
algorytm genetyczny
PID nieliniowy
miernik wydajności kontrolera
Opis:
The artificial bee colony (ABC) algorithm is well known and widely used optimization method based on swarm intelligence, and it is inspired by the behavior of honeybees searching for a high amount of nectar from the flower. However, this algorithm has not been exploited sufficiently. This research paper proposes a novel method to analyze the exploration and exploitation of ABC. In ABC, the scout bee searches for a source of random food for exploitation. Along with random search, the scout bee is guided by a modified genetic algorithm approach to locate a food source with a high nectar value. The proposed algorithm is applied for the design of a nonlinear controller for a continuously stirred tank reactor (CSTR). The statistical analysis of the results confirms that the proposed modified hybrid artificial bee colony (HMABC) achieves consistently better performance than the traditional ABC algorithm. The results are compared with conventional ABC and nonlinear PID (NLPID) to show the superiority of the proposed algorithm. The performance of the HMABC algorithm-based controller is competitive with other state-of-the-art meta-heuristic algorithm-based controllers in the literature.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2021, 69, 3; art. no. e137348
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Parameter optimization of sea waterway system dredged to the specified depth case of the modernized Świnoujście-Szczecin fairway
Autorzy:
Gucma, S.
Powiązania:
https://bibliotekanauki.pl/articles/224014.pdf
Data publikacji:
2016
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
sea waterways
optimization
parameters
drogi wodne
optymalizacja
parametry
Opis:
The paper presents a methodology for designing and optimizing the parameters of reconstructed marine waterways dredged to a certain depth. The reconstruction comes down to a particular deepening and widening of the waterway to permit operation of longer, broader and deeper drawing ships. The methodology, based on a systemic approach to the design and optimization of waterways, uses the method developed at the Marine Traffic Engineering Centre (MTEC), Maritime University of Szczecin and methods of computer simulation. The optimization criterion used is the minimization of the aggregated costs of construction and operation of the waterway and its navigation systems.
Źródło:
Archives of Transport; 2016, 40, 4; 29-38
0866-9546
2300-8830
Pojawia się w:
Archives of Transport
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
In the jewelry, brazing and laser welding with parameter optimization
Optymalizacja parametrów lutowania i laserowego spawania jubilerskich stopów złota
Autorzy:
Kallek, M.
Ataoglu, S.
Yagci, Y.
Bozkurt, H. N.
Gulluoglu, A. N.
Powiązania:
https://bibliotekanauki.pl/articles/355007.pdf
Data publikacji:
2012
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
spawanie laserowe
mikrostruktury
przemysł jubilerski
laser welding
brazing
jewelry
gold alloys
carat
Opis:
In this study, brazing and laser welding were experimentally compared for 9, 14 and 18 carat gold alloys in different color. The gold alloys were joined by laser welding and brazing and the microstructure, hardness, chemical composition, color of the weld joints were investigated. According to study, in laser welding, voltage, pulse duration, pulse diameter and frequency are the most important welding parameters that influence the quality of joints. Welded joints are characterized using three geometric parameters: penetration depth, width of heat affected zone and underfill defects. Finally, optimum laser welding parameters of different color of 9, 14 and 18 carat gold alloys were determined. It is observed that laser welding has numerous advantages compared to the other joining techniques used in the jewelry industry.
W pracy, porównano eksperymentalnie lutowanie i spawanie laserowe 9, 14 i 18 karatowych stopów złota o różnym kolorze. Zbadano mikrostrukturę, twardość, skład chemiczny i kolor połączeń. Wyniki badań spawania laserowego wskazują, że napięcie, czas trwania impulsu, średnica impulsu i częstotliwość to najważniejsze parametry, które wpływają na jakość połączeń. Spawane połączenia opisać można przy użyciu trzech geometrycznych parametrów: głębokość penetracji, szerokość strefy wpływu ciepła i defektów wypełnienia. Ustalono optymalne parametry spawania laserowego 9, 14 i 18 karatowych stopów złota o różnym kolorze. Stwierdzono, że spawanie laserowe ma wiele zalet w porównaniu do innych technik łączenia stosowanych w przemyśle jubilerskim.
Źródło:
Archives of Metallurgy and Materials; 2012, 57, 2; 525-536
1733-3490
Pojawia się w:
Archives of Metallurgy and Materials
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Complex morlet wavelet design with global parameter optimization for diagnosis of industrial manufacturing faults of tapered roller bearing in noisycondition
Autorzy:
Deák, Krisztián
Kocsis, Imre
Powiązania:
https://bibliotekanauki.pl/articles/329462.pdf
Data publikacji:
2019
Wydawca:
Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
Tematy:
bearing vibration analysis
wavelet
optimization
genetic algorithm
transformacja falkowa
falka
optymalizacja
algorytm genetyczny
Opis:
Detecting manufacturing defects of bearings are difficult because of their unique topography. To find adequate methods for diagnosis is important because they could be responsible for serious problems. Wavelet transform is an efficient tool for analyzing the transients in the vibration signal. In this article we are focusing on industrial grinding faults on the outer ring of tapered roller bearings. Nine different real-valued wavelets, Symlet-2, Symlet-5, Symlet-8, Daubechies (2, 6, 10, 14), Morlet and Meyer wavelets are compared to a designed complex Morlet wavelet according to the Energy-to-Shannon-Entropy ratio criteria to determine which is the most efficient for detecting the manufacturing fault. Parameters of the complex Morlet wavelet are adjustable, thus, it has more flexibility for feature extraction. Genetic algorithm is applied to optimize the center frequency and the bandwidth of the designed wavelet. A sophisticated filtering procedure through multi-resolution analysis is applied with autocorrelation enhancement and envelope detection. To determine the efficiency of the designed wavelet and compare to the other wavelets, a test-rig was constructed equipped with high-precision sensors and devices. The designed wavelet is found to be the most effective to detect the manufacturing fault. Therefore, it has the capacity for an industrial testing procedure.
Źródło:
Diagnostyka; 2019, 20, 2; 77-86
1641-6414
2449-5220
Pojawia się w:
Diagnostyka
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Optymalizacja parametrów modulatora w ultradźwiękowym układzie do pomiaru odległości metodą korelacyjną
Parameter optimization of the ultrasonic modulator system for distance measurement
Autorzy:
Gądek, K.
Dudzik, M.
Powiązania:
https://bibliotekanauki.pl/articles/151517.pdf
Data publikacji:
2013
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
pomiary ultradźwiękowe
badania nieniszczące
algorytm pomiaru odległości
measurement of ultrasonic wave
non-destructive testing
algorithm of distance measurement
Opis:
Artykuł prezentuje metodę optymalizacji parametrów modulatora ultradźwiękowego układu pomiaru odległości. W celu optymalizacji wprowadzono parametry sygnału służące jako kryterium optymalizacyjne. Przedstawione wyniki badań dotyczą parametrów modulacji fazy jak i częstotliwości. W artykule zestawiono wyniki tradycyjnych metod detektorów progowych z metodami korelacyjnymi z modulatorami fazy i częstotliwości. Układ pomiarowy zaimplementowano na mikrokontrolerze z rdzeniem ARM® Cortex™-M4 a sam układ analizy danych zabudowano na bazie programu LabVIEW. Wyniki badań pozwoliły na ustalenie optymalnych parametrów samego sygnału modulatora jak i binarnego ciągu modulującego, dla którego dane pomiarowe były maksymalnie jednoznaczne przy zachowaniu kryterium minimalnego błędu pomiaru odległości.
Ultrasonic time of flight (TOF) measurement methods are commonly used. The methods can be used for distance measurement in a liquid environment, for example water, glycerol or other environments in which ultrasonic wave can propagate. The correlation measurement method based on signal analysis can be used for such measurements. The signal analysis takes into account the signal emitted by a transmitter and the signal received in a receiver. The analysis is based on calculation of correlation between the signals. If the emitted signal propagates in liquid environment, the signal received in the receiver can be distorted because the ultrasonic wave can be reflected in such environment due to various factors. This paper presents a method to optimize the parameters of an ultrasonic distance measuring system modulator. For the purpose of optimization the parameters of the signal were introduced as a criterion for optimization. In the paper the results obtained with the traditional threshold detector methods are compared with those obtained by the correlation methods with phase and frequency modulators. The measuring system was implemented on a microcontroller core ARM ® Cortex ™-M4 and was connected to the system of data analysis based on LabVIEW. The results allowed us to determine the optimal parameters of the signal modulator and the binary code modulator, for which the data were maximally unambiguous with maintaining the criterion of a minimum distance measurement error.
Źródło:
Pomiary Automatyka Kontrola; 2013, R. 59, nr 10, 10; 1026-1028
0032-4140
Pojawia się w:
Pomiary Automatyka Kontrola
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Statistical Optimization of the Preparation of HNIW Nanoparticles via Oil in Water Microemulsions
Autorzy:
Bayat, Y.
Zarandi, M.
Khadiv-Parsi, P.
Salimi Beni, A.
Powiązania:
https://bibliotekanauki.pl/articles/358341.pdf
Data publikacji:
2015
Wydawca:
Sieć Badawcza Łukasiewicz - Instytut Przemysłu Organicznego
Tematy:
HNIW
microemulsion
surfactant
nanoparticle
parameter optimization
Opis:
HNIW (2,4,6,8,10,12-hexanitro-2,4,6,8,10,12-hexaazaisowurtzitane) is a family member of high-energy density cage nitramines which have so many versatile applications. In this paper, HNIW nanoparticles were prepared by the oil in water microemulsion route. The effects of various experimental parameters on this reaction were investigated using the Taguchi method. The effects of different variables: organic phase, water/organic phase (W1/W2), organic phase/ propanol (W3/W4) and HNIW weight percent, on the particle size of the HNIW were investigated at three distinct levels. Optimal conditions for obtaining HNIW nanoparticles were determined. Performing the process under the optimal conditions proposed by the Taguchi method leads to the production of HNIW nanoparticles with an average size of about 80 nm. The HNIW nanoparticles were characterized using Scanning Electron Microscopy (SEM), Dynamic Light Scattering (DLS), Differential Thermal Analysis (DTA) and X-Ray Diffraction (XRD).
Źródło:
Central European Journal of Energetic Materials; 2015, 12, 3; 459-472
1733-7178
Pojawia się w:
Central European Journal of Energetic Materials
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Hybrid GRA-PCA and modified weighted TOPSIS coupled with Taguchi for multi-response process parameter optimization in turning AISI 1040 steel
Autorzy:
Mst. Nazma, Sultana
Nikhil Ranjan, Dhar
Powiązania:
https://bibliotekanauki.pl/articles/1845051.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
grey relational analysis
principal component analysis
Taguchi method
analysis of variance
cryogenic cooling
szara analiza relacyjna
analiza głównych składowych
metoda Taguchi
analiza wariancji
chłodzenie kriogeniczne
Opis:
The objective of the present study is to optimize multiple process parameters in turning for achieving minimum chip-tool interface temperature, surface roughness and specific cutting energy by using numerical models. The proposed optimization models are offline conventional methods, namely hybrid Taguchi-GRA-PCA and Taguchi integrated modified weighted TOPSIS. For evaluating the effects of input process parameters both models use ANOVA as a supplementary tool. Moreover, simple linear regression analysis has been performed for establishing mathematical relationship between input factors and responses. A total of eighteen experiments have been conducted in dry and cryogenic cooling conditions based on Taguchi L18 orthogonal array. The optimization results achieved by hybrid Taguchi-GRA-PCA and modified weighted TOPSIS manifest that turning at a cutting speed of 144 m/min and a feed rate of 0.16 mm/rev in cryogenic cooling condition optimizes the multi-responses concurrently. The prediction accuracy of the modified weighted TOPSIS method is found better than hybrid Taguchi-GRA-PCA using regression analysis.
Źródło:
Archive of Mechanical Engineering; 2021, LVIII, 1; 23-49
0004-0738
Pojawia się w:
Archive of Mechanical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Research on Forming Parameters Optimization of Incremental Sheet Forming Processf or Commercially Pure Titanium Grade 2 Sheets
Autorzy:
Szpunar, Marcin
Trzepieciński, Tomasz
Ostrowski, Robert
Zwolak, Marek
Powiązania:
https://bibliotekanauki.pl/articles/2174594.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
incremental sheet forming
forces
fracture
parameter optimization
titanium
Opis:
This study aims to determine optimal forming parameters for Incremental Sheet Forming process Commercially Pure titanium Grade 2 sheets in terms of formability improvement, force reduction, and efficiency of forming. Based on the central composite design, data were collected during 20 runs and then variation analysis was performed. The experiments were performed on a 3 axis CNC milling machine equipped with a Kistler dynamometer plate. Subsequently, regression models have been developed to describe process responses by input factors. As crucial parameters, the relative velocity and step size of the tool that affect the forming force and the height of the fracture have been determined. Finally, the application of optimization algorithm has emerged optimal input factors in terms of selected multi-criteria goal. The results of this study suggest that there is a process window that allows the formation of 45° wall angle drawpieces of commercially pure titanium Grade 2.
Źródło:
Archives of Metallurgy and Materials; 2022, 67, 4; 1411--1418
1733-3490
Pojawia się w:
Archives of Metallurgy and Materials
Dostawca treści:
Biblioteka Nauki
Artykuł
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