[PDF][PDF] Adsorption chiller in a combined heating and cooling system: simulation and optimization by neural networks

J Krzywanski, K Sztekler, M Bugaj… - Bulletin of the Polish …, 2021 - bibliotekanauki.pl
Adsorption cooling and desalination technologies have recently received more attention.
Adsorption chillers, using eco-friendly refrigerants, provide promising abilities for low-grade …

Surface finish analysis in single point incremental sheet forming of rib-stiffened 2024-T3 and 7075-T6 alclad aluminium alloy panels

T Trzepieciński, A Kubit, A Dzierwa, B Krasowski… - Materials, 2021 - mdpi.com
The article presents the results of the analysis of the interactions between the single point
incremental forming (SPIF) process parameters and the main roughness parameters of …

The modelling of surface roughness after the ball burnishing process with a high-stiffness tool by using regression analysis, artificial neural networks, and support …

Z Kanovic, D Vukelic, K Simunovic, M Prica, T Saric… - Metals, 2022 - mdpi.com
Surface roughness is an important indicator of the quality of the machined surface. One of
the methods that can be applied to improve surface roughness is ball burnishing. Ball …

Modelling the influence of slide burnishing parameters on the surface roughness of shafts made of 42CrMo4 heat-treatable steel

R Kluz, K Antosz, T Trzepieciński, M Bucior - Materials, 2021 - mdpi.com
This article presents the results of tests aimed at determining the effect of slide burnishing
parameters on the surface roughness of shafts made of 42CrMo4 heat-treatable steel. The …

Modeling of friction phenomena of Ti-6Al-4V sheets based on backward elimination regression and multi-layer artificial neural networks

T Trzepieciński, M Szpunar, Ľ Kaščák - Materials, 2021 - mdpi.com
This paper presents the application of multi-layer artificial neural networks (ANNs) and
backward elimination regression for the prediction of values of the coefficient of friction …

[PDF][PDF] Aspect-based sentiment classification model employing whale-optimized adaptive neural network

N Balaganesh, K Muneeswaran - Bulletin of the Polish Academy of …, 2021 - journals.pan.pl
In E-Commerce applications, nowadays the Aspect-based sentiment analysis has become
vital, and every consumer started focusing on various aspects of the product before making …

Numerical analysis of the new forming process of the aircraft bracket forging made of AZ91 alloy at different rates of deformation

P Surdacki - Tehnički vjesnik, 2022 - hrcak.srce.hr
Sažetak The article presents the results of numerical simulations of the new forging process
of the aircraft bracket forging at different deformation rates related to the type of machine …

Optimization of tribology parameters of AZ91D magnesium alloy in dry sliding condition using response surface methodology and genetic algorithm

M Beniyel, M Sivapragash, SC Vettivel… - Bulletin of the Polish …, 2021 - yadda.icm.edu.pl
In the present research, the wear behaviour of magnesium alloy (MA) AZ91D is studied and
optimized. MA AZ91D is casted using a die-casting method. The tribology experiments are …

[PDF][PDF] Investigating the FSW parameter's role on microstructure and mechanical properties of welding AZ31B–AA8110 alloy

S Dharmalingam, K Lenin… - Bulletin of the Polish …, 2022 - bibliotekanauki.pl
The influence of friction stir welding (FSW) in automotive applications is significantly high in
recent days as it can boast beneficial factors such as less distortion, minimized residual …

[PDF][PDF] Experimental modeling of the milling process of aluminum alloys used in the aerospace industry

AM Țîțu, AB Pop, M Nabiałek… - Bulletin of the Polish …, 2021 - psjd.icm.edu.pl
This research presents an experimental study carried out for the modeling and optimization
of some technological parameters for the machining of metallic materials. Certain …