Interdisciplinary studies on contemporary research practices in engineering in the 21st century-III

Özgür Yayınları eBooks, Год журнала: 2023, Номер unknown

Опубликована: Июнь 22, 2023

Engineering is the use of scientific principles to design and construct machines, structures other items, including bridges, tunnels, roads, vehicles buildings. The engineering discipline encompasses a wide range specialized fields, each with particular emphasis on specific areas applied mathematics, science, application types. sub-discipline created by interdisciplinary partnership that plays very important role in development country. profession develops economical methods present forces substances nature for benefit human beings, using knowledge gained through study, experimentation from branches mathematics natural sciences wisely. Because approach; It approach whose job solve problems. Employees who take know how see unseen, find unthinkable, target optimum solutions get maximum situation. On hand, although broad detailed definition comes mind question what engineering, we can say science necessary Engineers understand things work ways discoveries practical life. This book published; was presentations both their own original studies compilation literature presented academics teach various branches. aim here engineers interested subject together. Therefore, I believe will fill an gap be useful young researchers. In this context; We would like thank everyone contributed scientifically book, short, preparation printing. hope published academics, wish success all academics. Prof. Dr. Kamil KAYGUSUZ Mechanical & Chemical Engineer Karadeniz Technical University Energy Expert

Язык: Английский

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Increasing the Efficiency of Composite Materials Manufacturing Productivity by Using Artificial Intelligent Methods

Özgür Yayınları eBooks, Год журнала: 2023, Номер unknown

Опубликована: Июнь 22, 2023

The manufacturing of composite materials plays a vital role in various industries due to their exceptional properties, performance and lightweight characteristics. However, the process involves numerous complex time-consuming tasks, resulting reduced productivity increased costs. Additionally, there is continuous need improve efficiency processes meet growing demands ensure cost-effective production. Artificial intelligence (AI) has potential greatly impact development, design, use materials. In particular, it can play crucial enhancing within process. offers techniques algorithms that optimize different aspects process, including predictive maintenance, real time monitoring control, parameter optimization, quality material characterization, design development. By leveraging artificial intelligence, manufacturers achieve improved productivity, enhanced product quality, waste, decreased downtime. utilization methods holds great for positioning companies at forefront innovation competitiveness industry. This chapter explores application increase productivity.

Язык: Английский

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Solar Irradiance Prediction and Methods Used in Prediction Studies

Özgür Yayınları eBooks, Год журнала: 2023, Номер unknown

Опубликована: Июнь 22, 2023

Solar energy is considered one of the most important renewable sources and recognized as fastest-growing source worldwide. The power generated in solar facilities primarily depends on amount radiation reaching surface photovoltaic (PV) panels. Prior knowledge crucial for reliable planning efficient design systems. Therefore, forecasting a highly significant topic. Various techniques can be employed prediction, including fundamental physical statistical methods, well ensemble methods obtained by combining different approaches. However, remarkable success artificial neural networks, form intelligence application that enhances learning algorithms, various applications has attracted researchers to this field. promising potential field evident richness proposed increasing number publications. main objective study review intelligence-based found literature prediction identify research gaps examining predictions using machine learning-based hybrid models created their combination with other techniques, which have gained popularity recently. Additionally, aim provide an analysis guides future improvements understanding recent advancements To facilitate enhance area, comprehensive studies, particularly focusing commonly used approach published recently, presented. Furthermore, information required data parameters studies provided. All details, features, specifics are summarized tabular shape formats overview.

Язык: Английский

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An Agricultural Unmanned Ground Vehicle for Localized Spraying of Harmful Plants Using Convolutional Neural Networks

Özgür Yayınları eBooks, Год журнала: 2023, Номер unknown

Опубликована: Июнь 22, 2023

The utilization of artificial intelligence (AI) in agriculture through unmanned ground vehicles (UGVs) has the potential to significantly reduce excessive chemical use and environmental pollution. Instead spraying entire areas, local interventions can be carried out with agricultural UGVs, allowing for removal unwanted harmful plants by spraying. This approach leads a more effective healthy outcome compared dispersing pesticides air. effects on lands are minimized, is efficiently, costs reduced decrease amount pesticide used. In this work, we developed an autonomous vehicle unique design locally spray lands. vehicle's was inspired nature, aluminum profiles were preferred its production lightness. An innovative suspension system established facilitate movement farmland, minimizing uneven conditions. A simultaneous roadmap generated via robot operating using data received from depth camera placed vehicle. detection algorithm based convolutional neural networks used detect land. Prompt crucial once detected, as inefficient may lead proliferation these plants. To overcome bottleneck, enables least delay real-time. field tests vehicle, plant land detected accuracy 90% height 40 cm sprayed successfully instantaneously. Critical parameters such position, battery consumption, status monitored simultaneously during control monitoring interface external station. power supply components determined that operated relatively flat 1.5 - 2 hours. Additionally, solar cells intended extend duty period. Overall, study demonstrates AI-assisted UGVs reducing pollution while increasing efficiency cost-effectiveness.

Язык: Английский

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Influence of T6 heat Treatment on the Mechanical Properties of AA7075 and AA7020 alloys

Özgür Yayınları eBooks, Год журнала: 2023, Номер unknown

Опубликована: Июнь 22, 2023

The AA7075 and AA7020 alloys were prepared using a vacuum melting furnace casting furnace. Mechanical properties of the alloy samples investigated as-cast under heat-treated conditions. To investigate effect heat treatment, numerous designed homogenized (solution process) in two steps (300 oC/12h+475 oC/12h) then aged different regimes. mechanical microhardness (HV), ultimate tensile strength (σUTS), yield (σTYS), compressive (σCYS) Young's modulus (E) measured to treatment on properties. Both systems (AA7075 AA7020) compared both within themselves with each other terms depending how they subjected treatment. Depending applied treatments, 7075 exhibited superior 7020 alloy. A good combination high reasonable has been achieved for by sequential appropriate While peak sUTS value reached was 425 MPa (regime 3), it determined as 320 2) After aging process at 150 oC/24h proceeding homogenization process, HV sCYS values 1235 321.6 MPa, respectively.

Язык: Английский

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