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Process Modeling and Simulation for Chemical Engineers: Theory and Practice 1st Edition
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This book provides a rigorous treatment of the fundamental concepts and techniques involved in process modeling and simulation.
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Produktdetails
| Verleger | Wiley |
| Veröffentlichungsdatum | May 8, 2017 |
| Ausgabe | 1st |
| Sprache | Englisch |
| Drucklänge | 368 pages |
| ISBN-10 | 9781118914687 |
| ISBN-13 | 978-1118914687 |
| Artikelgewicht | 1.54 pounds (700 grams) |
| Abmessungen | 6.9 x 0.9 x 9.7 inches (17.5 x 2.3 x 24.6 cm) |
Gefahrgut
Um Verzögerungen bei der Zollabfertigung für gefährliche Güter zu vermeiden, wird die Sendung in unserem Lager geöffnet, um die Gefahrgut-Klasse zu überprüfen. Please see the list of Gefährliche Waren hier.
Für wen ist das Produkt geeignet?
-
Chemical Engineering Students
Provides foundational knowledge and practical skills essential for students studying chemical engineering and process design.
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Industry Professionals
Useful for engineers looking to enhance their modeling skills and simulation techniques in chemical processes.
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Research Academics
Supports researchers exploring advancements in process modeling and simulation, offering theoretical insights and practical applications.
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Beginner Engineers
May be too advanced for those without a basic understanding of chemical processes and modeling concepts.
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Non-Technical Roles
Not suitable for professionals in management or non-technical fields with no focus on engineering principles.
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Casual Learners
Not ideal for hobbyists or casual learners seeking a light introduction to process simulation and modeling.
PRODUKTBESCHREIBUNG
Process Modeling and Simulation for Chemical Engineers: Theory and Practice 1st Edition
Kunden Fragen und Antworten
-
Frage:
What is the main focus of Process Modeling and Simulation for Chemical Engineers: Theory and Practice?
Antworten: The book primarily focuses on the principles and techniques of modeling and simulating processes in chemical engineering. It covers a variety of methods, including both deterministic and stochastic modeling approaches, enabling engineers to design and optimize chemical processes effectively. The practical implementation of these theories with real-world examples ensures enhanced comprehension. For those working in industries like petrochemicals or pharmaceuticals, understanding these models can lead to more efficient operations and better decision-making in process design. -
Frage:
Who is the ideal audience for this book?
Antworten: This book is tailored for chemical engineering students, researchers, and professionals in the field. Those in academia will find it useful for teaching core concepts in process dynamics, while industry professionals can utilize the case studies to apply learned skills in practical scenarios. Additionally, practitioners looking to update their skills or explore new modeling techniques will benefit significantly. It's an essential resource for anyone seeking to enhance their understanding of modern chemical process strategies. -
Frage:
Does this book include practical examples or case studies?
Antworten: Yes, the book contains numerous practical examples and case studies that illustrate the concepts discussed. These examples help bridge the gap between theoretical modeling techniques and real-world applications. Readers can analyze chemical processes in various industries, making the content relatable and applicable. For instance, a case study on a distillation column might help engineers apply taught models in optimizing their own systems, thereby increasing efficiency and productivity. -
Frage:
What are the key methodologies discussed in this book?
Antworten: The book elaborates on a range of methodologies, including steady-state and dynamic modeling, simulation techniques, and optimization strategies. Specific topics cover the use of software tools for simulation, linear and nonlinear programming, and the integration of experimental data into models. By learning these methodologies, engineers can address complex challenges and enhance the reliability of their simulations. For example, using these techniques, engineers in a chemical plant can predict outcomes of modifications before implementation, leading to more informed decisions. -
Frage:
Is there any prerequisite knowledge required to understand this book?
Antworten: While a background in chemical engineering or a related field is beneficial, the book is structured to cater to varying levels of expertise. Fundamental concepts are revisited, making it accessible to those with basic knowledge while still providing depth for advanced readers. This inclusive approach allows students and novice engineers to grasp complex modeling techniques alongside experienced professionals looking to refresh their knowledge. Thus, anyone interested in chemical process simulation will find valuable information catered to their understanding. -
Frage:
What software tools are recommended in this book for simulation?
Antworten: The book discusses several leading software tools for simulation, including Aspen Plus, HYSYS, and MATLAB. Each tool is evaluated for its strengths in different modeling scenarios, and practical tips for implementation are provided. For instance, engineers can use Aspen Plus for steady-state simulations in process design while MATLAB offers flexibility for more custom simulation tasks. Understanding these tools empowers users to choose the right software for their specific applications in chemical engineering. -
Frage:
How does this book help in improving process optimization?
Antworten: The book provides techniques that are essential for process optimization, including modeling algorithms and performance assessment metrics. By learning to create accurate models, engineers can identify bottlenecks and inefficiencies in processes. The insights gained from optimization can lead to increased yield and reduced costs. For example, applying the optimization strategies featured might help a manufacturing facility minimize raw material usage while maximizing output quality, thus enhancing overall operational efficiency. -
Frage:
Are there any digital versions available for this book?
Antworten: Yes, the book is available in both digital and print formats, catering to preferences for reading and accessibility. The digital version often comes with interactive features that could enhance the learning experience, especially for complex models and simulations. Readers who utilize e-books can conveniently search for topics and reference material, allowing for a more engaging and efficient study process. This flexibility benefits students and professionals alike, providing immediate access to valuable information anytime, anywhere. -
Frage:
What makes this book stand out from similar titles?
Antworten: This book distinguishes itself through its practical focus on real-world applications and its step-by-step approach to complex concepts in modeling and simulation. Unlike many similar titles, it combines theoretical foundations with industry practices, making it highly relevant for contemporary engineering challenges. The integration of advanced techniques alongside practical case studies sets it apart. This resourceful blend ensures that readers not only understand the content but also realize how to apply it effectively in their professional environments. -
Frage:
Where can I buy Process Modeling and Simulation for Chemical Engineers: Theory and Practice 1st Edition in Switzerland?
Antworten: You can purchase Process Modeling and Simulation for Chemical Engineers: Theory and Practice 1st Edition from Ubuy in Switzerland. Ubuy offers a wide selection of books and provides a seamless shopping experience, ensuring that you can easily find and acquire this valuable resource for your studies or professional needs.
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Vorteile
- Comprehensive coverage of topics
- Clear and concise explanations
- Practical examples and applications
- User-friendly layout
- Excellent for both beginners and experts
Nachteile
- Some sections may require prior knowledge.
Produktpreisverlauf
Wichtige Information
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Merkmale und Vorteile
- Gain a solid understanding of essential mathematical concepts.
- Develop sophisticated process models effectively.
- Transform models for various geometries and domains.
- Utilize model simplification techniques for enhanced clarity.
- Learn efficient computational methods for simulation.
- Includes practical examples and online resources for deeper learning.