Diesel Engines in Transportation and other Branches

Towards Sustainable Solutions

AvAleksander Sładkowski

Inbunden, Engelska, 2026

Del 682 i serien Studies in Systems, Decision and Control

2 677 kr

Kommande

Beskrivning

This book explores diesel engines used in various modes of transport. The famous American writer Mark Twain once wrote, "The reports of my death are greatly exaggerated." To paraphrase his statement, we could say, "The reports of diesel engines' death are greatly exaggerated." Indeed, there is currently a steady trend toward the use of electric motors. However, firstly, a sufficient amount of stored electricity is necessary, and renewable energy sources are currently insufficient. Secondly, diesel engine developers are constantly developing new engine designs that are more cost-effective, more environmentally friendly, and offer a number of other advantages. This book is devoted to the latest developments in the use of diesel engines, their new designs, technological aspects of their use, related environmental issues, and other relevant information. The book's strength lies in its comprehensive approach to the issue, analyzing it from various perspectives by scientists representing different countries and holding diverse approaches. Thus, the book can be characterized as a single-themed scientific monograph, designed to inform the public about the achievements of scientists from eight countries. This book is intended for scientists, teachers, and students. It can also be recommended to a wider audience interested in the various applications of engines in the transportation industry and the achievements of modern science in various countries.

Produktinformation

Utgivningsdatum:2026-10-28
Mått:155 x 235 x undefined mm
Format:Inbunden
Språk:Engelska
Serie:Studies in Systems, Decision and Control
Antal sidor:476
Förlag:Springer Nature Switzerland AG
ISBN:9783032277718

Utforska kategorier

Byggnadsteknik inom Naturvetenskap och teknik
Motorfordon inom Naturvetenskap och teknik
Artificiell intelligens inom Data och IT

Mer om författaren

Prof. Aleksander Sładkowski is a renowned Polish scientist working in the fields of transport engineering and vehicle mechanics. His research interests are quite broad, including logistics, ecology, and transport economics. He has published over 500 scientific papers, including several monographs and patents. His achievements have been recognized by colleagues at several renowned foreign universities, who have awarded him the honorary titles of Doctor and Professor Honoris Causa.

Innehållsförteckning

HVO/Biogas Mixtures as an Efficient Fuel for Diesel Engine: Estimation of Exhausts by Means of Feed-Forward Neural Network.- Sustainable Fuel Alternatives for Diesel Engines: A Study on Waste and Secondary Fuels.- Features of Production and Use of Regenerative Motor Fuels for Internal Combustion Engines.- Contactless Emissions Prediction of Internal Combustion.- Engines Using Image Recognition Artificial Neural Network Models.

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Diesel Engines in Transportation and other Branches

Towards Sustainable Solutions

AvAleksander Sładkowski

Inbunden, Engelska, 2026

Del 682 i serien Studies in Systems, Decision and Control

2 677 kr

Kommande

Beskrivning

Produktinformation

Utgivningsdatum:2026-10-28
Mått:155 x 235 x undefined mm
Format:Inbunden
Språk:Engelska
Serie:Studies in Systems, Decision and Control
Antal sidor:476
Förlag:Springer Nature Switzerland AG
ISBN:9783032277718

Utforska kategorier

Byggnadsteknik inom Naturvetenskap och teknik
Motorfordon inom Naturvetenskap och teknik
Artificiell intelligens inom Data och IT

Mer om författaren

Innehållsförteckning

HVO/Biogas Mixtures as an Efficient Fuel for Diesel Engine: Estimation of Exhausts by Means of Feed-Forward Neural Network.- Sustainable Fuel Alternatives for Diesel Engines: A Study on Waste and Secondary Fuels.- Features of Production and Use of Regenerative Motor Fuels for Internal Combustion Engines.- Contactless Emissions Prediction of Internal Combustion.- Engines Using Image Recognition Artificial Neural Network Models.