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Record W4407721928 · doi:10.1201/9781003593935

Principles of Chemical Engineering Processes

2025· book· en· W4407721928 on OpenAlexaff
Nayef Ghasem, Redhouane Henda

Bibliographic record

Venuenot available
Typebook
Languageen
FieldEngineering
TopicReservoir Engineering and Simulation Methods
Canadian institutionsLaurentian University
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

Principles of Chemical Engineering Processes: Material and Energy Balances continues to serve an essential text, guiding students on the basic principles and calculation techniques used in the field of chemical engineering and providing a solid understanding of the fundamentals of the application of material and energy balances. This third edition has been updated to reflect advances in the field and feedback from professors and students. Packed with illustrative examples and case studies, this book: • Features learning objectives and homework problems in every chapter, new material on software modeling, and additional and enhanced solved examples and problems. • Discusses problems in material and energy balances related to chemical reactors and explains the concepts of dimensions, units, psychrometry, steam properties, and conservation of mass and energy. • Demonstrates how Python, MATLAB®, and Simulink® can be used to solve complicated problems of material and energy balances, and now features an introduction to the basics of building Simulink models. • Demonstrates how Python and its libraries, such as NumPy and SciPy, can be used to solve complex problems in material and energy balances, and introduces the basics of building models using Python frameworks similar to Simulink. • Shows how to solve steady-state and transient mass and energy balance problems involving multiple-unit processes and recycle, bypass, and purge streams. • Develops quantitative problem-solving skills, specifically the ability to think quantitatively (including numbers and units), the ability to translate words into diagrams and mathematical expressions, the ability to use common sense to interpret vague and ambiguous language in problem statements, and the ability to make judicious use of approximations and reasonable assumptions to simplify problems. • Offers educational software and sample tutorials and quizzes for download. Aimed at both chemical engineering students and professionals, this book helps readers understand how to calculate, manage, and apply the key ideas of material and energy use in chemical processes through real-world examples. Lecture slides and a solutions manual are available with qualifying course adoption.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.514
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.019
GPT teacher head0.250
Teacher spread0.232 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSimulation or modeling
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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