Wszystkie pola: STIR - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Design of Functionally Graded Composites through Friction Stir Processing
Autorzy:: Sai, B. V. Hima Sekhar
Powiązania:: https://bibliotekanauki.pl/articles/2052243.pdf
Data publikacji:: 2021
Wydawca:: Politechnika Koszalińska. Wydawnictwo Uczelniane
Tematy:: friction stir processing
functionally graded material
reinforcements
multi-pass FSP
zgrzewanie tarciowe z przemieszaniem
funkcjonalny materiał gradientowy
wzmocnienie
Opis:: An Investigation was conducted to produce Aluminium based Functionally graded material (FGM) composites by Friction stir processing (FSP). A reinforcement strategy featuring the use of Alumina and TiC reinforcements was investigated, where holes were drilled in an Aluminium plate, filled with reinforcements and stirred using FSP. A mathematical model was formulated for the positioning of holes in such a manner that the composition of the reinforcements varies from maximum to minimum over a given length. Samples were subjected to various numbers of FSP passes from one to three with a 100% overlap and its influence on particle distribution and homogeneity was studied using Scanning electron microscopy (SEM) at cross sections parallel to the tool traverse direction. A progressive gradient in hardness values was observed for the surface composites at all the passes.
Źródło:: Journal of Mechanical and Energy Engineering; 2021, 5, 2; 95-102
2544-0780
2544-1671
Pojawia się w:: Journal of Mechanical and Energy Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Regression modeling and neural computing for predicting the ultimate tensile strength of friction stir welded aerospace aluminium alloy
Autorzy:: Mishra, Akshansh
Vance, Jonathan Ve
Powiązania:: https://bibliotekanauki.pl/articles/95289.pdf
Data publikacji:: 2019
Wydawca:: Politechnika Koszalińska. Wydawnictwo Uczelniane
Tematy:: artificial neural networks
regression model
friction stir welding
sztuczne sieci neuronowe
model regresji
zgrzewanie tarciowe
Opis:: AA7075 is an aluminum alloy which is almost as strong as steel, yet it weighs just one third as much. Unfortunately its use has been limited, due to the fact that pieces of it could not be securely welded together by the traditional welding process. Friction Stir Welding (FSW) process overcomes the limitations of conventional welding process. In our present work we have used Artificial Neural Network which is Artificial Intelligence based technique used for prediction purpose. The main objective of our present work is to compare the predicted results of the Ultimate Tensile Strength (UTS) of Friction Stir welded similar joints through Regression modeling and Artificial Neural Network (ANN) modeling. It was observed that the linear regression algorithm is able to make more accurate predictions compared to neural network algorithm for small dataset.
Źródło:: Journal of Mechanical and Energy Engineering; 2019, 3, 3; 221-226
2544-0780
2544-1671
Pojawia się w:: Journal of Mechanical and Energy Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Local binary pattern defect recognition approach for the friction stir welded AA 1200 and AA 6061-T6 aluminum alloy
Autorzy:: Mishra, Akshansh
Powiązania:: https://bibliotekanauki.pl/articles/95297.pdf
Data publikacji:: 2020
Wydawca:: Politechnika Koszalińska. Wydawnictwo Uczelniane
Tematy:: local binary patterns
friction stir welding
machine learning
surface defects
lokalne wzorce binarne
zgrzewanie tarciowe z mieszaniem materiału
zgrzewanie tarciowe z przemieszaniem
FSW
uczenie maszynowe
wady powierzchni
Opis:: The research reported in this paper focuses on the application of local binary patterns (LBPs) for surface defects detection. The surface defection detection algorithm for friction stir welded aluminum plates is the key part of the entire surface defect recognition system. Two different grades i.e AA 1200 and AA 6061 plates were similarly joined with the help of Friction Stir Welding process. Python codes for the proposed algorithm were executed on Google Colaboratory platform. The results obtained prove that the local binary patterns method can be used for real-time surface defects detection in friction stir welded joints.
Źródło:: Journal of Mechanical and Energy Engineering; 2020, 4, 1; 27-32
2544-0780
2544-1671
Pojawia się w:: Journal of Mechanical and Energy Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Recent studies on particulate reinforced AZ91 magnesium composites fabricated by stir casting – a review
Autorzy:: Matta, Anil Kumar
Koka, Naga Sai Suman
Devarakonda, Sameer Kumar
Powiązania:: https://bibliotekanauki.pl/articles/1819193.pdf
Data publikacji:: 2020
Wydawca:: Politechnika Koszalińska. Wydawnictwo Uczelniane
Tematy:: AZ91
ceramics
metal matrix composites
magnesium composites
particle reinforcement
stir casting
ceramika
kompozyty z osnową metalową
kompozyty magnezowe
zbrojenie cząstkami
odlewanie suspensji
Opis:: Magnesium Metal Matrix Composites (Mg MMC) have been the focus of consideration by many researchers for the past few years. Many applications of Mg MMCs were evolved in less span of time in the automotive and aerospace sector to capture the benefit of high strength to weight ratio along with improved corrosion resistance. However, the performance of these materials in critical conditions is significantly influenced by several factors including the fabrication methods used for processing the composites. Most of the papers addressed all the manufacturing strategies of Mg MMC but no paper was recognized as a dedicated source for magnesium composites prepared through STIR casting process. Since STIR casting is the least expensive and most common process in the preparation of composites, this paper reviews particulate based Mg MMCs fabricated with STIR casting technology. AZ91 series alloys are considered as the matrix material while the effect of different particle reinforcements, sizes, weight fractions on mechanical and tribological responses are elaborated in support with micro structural examinations. Technical difficulties and latest innovations happened during the last decade in making Mg MMCs as high performance material are also presented.
Źródło:: Journal of Mechanical and Energy Engineering; 2020, 4, 2; 115--126
2544-0780
2544-1671
Pojawia się w:: Journal of Mechanical and Energy Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:: Forecasting process parameters on weld nugget hardness of filler added friction stir welded dissimilar aluminium alloys 5052 And 6082 joints
Autorzy:: Sasikumar, A.
Gopi, S.
Mohan, Dhanesh G.
Powiązania:: https://bibliotekanauki.pl/articles/2052239.pdf
Data publikacji:: 2021
Wydawca:: Politechnika Koszalińska. Wydawnictwo Uczelniane
Tematy:: friction stir welding
center distance between the holes
filler ratio
microhardness
response surface methodology
zgrzewanie tarciowe z przemieszaniem
współczynnik wypełnienia
mikrotwardość
metodologia powierzchni odpowiedzi
Opis:: This article deals with the optimization of friction stir welding process parameters with filler ratios on dissimilar Aluminium alloy groups. For this purpose, 6 series Aluminium alloy 6082 and 5 series Aluminium alloy 5052 were taken. Microhardness property was conducted under various rotational speeds, welding speed, plunge depth, Center distance between the holes and filler mixing ratio. The Central Composite Design (CCD), the most commonly used Response Surface Methodology (RSM), is considered to develop the prediction equation. A validation analysis is carried out, and the results were compared with the relative impact of input parameters on weld nugget microhardness. It is observed that the increase in welding speed with plunge depth and filler ratio result in the increase of weld nugget microhardness up to a maximum value. The maximum weld nugget hardness of fabricated joint was obtained with the welding process parameters combination of 1000 rpm rotational speed, 125 mm/min welding speed, 0.15 mm plunge depth, 2 mm centre distance between the holes, and filler ratio of 95% Mg and 5% Cr.
Źródło:: Journal of Mechanical and Energy Engineering; 2021, 5, 2; 103-112
2544-0780
2544-1671
Pojawia się w:: Journal of Mechanical and Energy Engineering
Dostawca treści:: Biblioteka Nauki

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