Опубликована: Янв. 1, 2024
Язык: Английский
Опубликована: Янв. 1, 2024
Язык: Английский
Applied Soft Computing, Год журнала: 2024, Номер 153, С. 111300 - 111300
Опубликована: Янв. 22, 2024
This manuscript presents an efficient multi-objective optimization method based on using particle swarm together with a desirability function that can be applied where the response variables may have opposite behavior and range of variation independent as well those responses are subjected to constraints, which has great deal industrial interest. For example, maintaining roughness dimensional tolerances within tolerance is determined by design requirements manufactured parts (shape errors, microgeometry etc.) these must met in manufacture parts. It demonstrated it possible obtain optimal results ranges considered for variables, regard obtained experimentation. Similarly, models Adaptive Network-based Fuzzy Inference Systems used solve problem arise from inadequate fitting regression models. Thus, thanks this present study fast available multiple-optimization subject constraints both experiments modelled means soft computing techniques. Furthermore, also technology tables various manufacturing processes, interest technological point view so most suitable processing conditions.
Язык: Английский
Процитировано
17Measurement, Год журнала: 2025, Номер unknown, С. 117424 - 117424
Опубликована: Март 1, 2025
Язык: Английский
Процитировано
1Materials, Год журнала: 2024, Номер 17(5), С. 1088 - 1088
Опубликована: Фев. 27, 2024
From 1990 to 2024, this study presents a groundbreaking bibliometric and sentiment analysis of nanocomposite literature, distinguishing itself from existing reviews through its unique computational methodology. Developed by our research group, novel approach systematically investigates the evolution nanocomposites, focusing on microstructural characterization, electrical properties, mechanical behaviors. By deploying advanced Boolean search strategies within Scopus database, we achieve meticulous extraction in-depth exploration thematic content, methodological advancement in field. Our uniquely identifies critical trends insights concerning microstructure, attributes, performance. The paper goes beyond traditional textual analytics evaluation, offering new interpretations data highlighting significant collaborative efforts influential studies domain. findings uncover language, shifts, global contributions, providing distinct comprehensive view dynamic research. A component is “State-of-the-Art Gaps Extracted Results Discussions” section, which delves into latest advancements This section details various types their properties introduces applications, especially films. tracing historical progress identifying emerging trends, emphasizes significance collaboration molding Moreover, “Literature Review Guided Artificial Intelligence” showcases an innovative AI-guided research, first Focusing articles 2023, selected based citation frequency, method offers perspective interplay between nanocomposites properties. It highlights composition, structure, functionality systems, integrating recent for overview current knowledge. analysis, with average score 0.638771, reflects positive trend academic discourse increasing recognition potential nanocomposites. another novelty, maps intellectual domain, emphasizing pivotal themes influence crosslinking time attributes. While acknowledging limitations, exemplifies indispensable role tools synthesizing understanding extensive body literature. work not only elucidates prevailing but also contributes insights, enhancing
Язык: Английский
Процитировано
8Journal of the Textile Institute, Год журнала: 2024, Номер 115(12), С. 2678 - 2692
Опубликована: Фев. 6, 2024
The conversion and utilization of energy are continuous ever-increasing processes that play crucial roles in promoting sustainability economic development. Adopting clean sources has become imperative to address environmental concerns (air pollution) conservation. Heat exchangers (HEs) a significant role achieve conservation through enhanced heat moisture transfer. HEs commonly used heating, ventilating, air conditioning (HVAC) systems. performance HE strongly influences the thermal an entire HVAC system. With increasing transfer requirement modern industries, it is still important issue improve efficiently. In this article, comprehensive review comparison several previously investigated studies related similar topic performed. recovery have hot for building these years, promising alternatives recovery. systematically analyzed further research on with HEs. This literature strengthens our understanding flow characteristics mechanisms various Moreover, ground-breaking recent advances types will also be presented discussed detail.
Язык: Английский
Процитировано
6Construction and Building Materials, Год журнала: 2024, Номер 426, С. 136117 - 136117
Опубликована: Апрель 8, 2024
Язык: Английский
Процитировано
4Journal of Materials Science, Год журнала: 2024, Номер unknown
Опубликована: Дек. 28, 2024
Язык: Английский
Процитировано
4Measurement, Год журнала: 2024, Номер 227, С. 114253 - 114253
Опубликована: Фев. 7, 2024
Язык: Английский
Процитировано
3International Journal of Computational Intelligence Systems, Год журнала: 2025, Номер 18(1)
Опубликована: Янв. 23, 2025
Язык: Английский
Процитировано
0Journal of Materials Research and Technology, Год журнала: 2025, Номер unknown
Опубликована: Фев. 1, 2025
Язык: Английский
Процитировано
0Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
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