Chemical Product Formulation Design and Optimization Explore the cutting-edge in chemical product formulation and design In Chemical Product Formulation Design and Optimization: Methods, Techniques, and Case Studies , a team of renowned technologists and engineers delivers a practice guide to chemi
Chemical Product Formulation Design and Optimization. Methods, Techniques, and Case Studies
✍ Scribed by Ali Elkamel, Hesham Alhumade, Navid Omidbakhsh, Keyvan Nowruzi, Thomas Duever
- Publisher
- Wiley
- Year
- 2023
- Tongue
- English
- Leaves
- 227
- Category
- Library
No coin nor oath required. For personal study only.
✦ Table of Contents
Cover
Title Page
Copyright
Contents
Preface
About the Authors
Chapter 1 Introduction
1.1 Chemical Product Engineering
1.2 Chemical Product Design
1.3 Product Design and Computer‐Aided Product Design
References
Chapter 2 Some Typical Applications of Chemical Product Design and Intellectual Property
2.1 Natural Fiber Plastic Composites
2.2 Wheat Straw Polypropylene Composites
2.3 Modeling Natural Fiber Polymer Composites
2.4 Graphene Composites
2.5 Corrosion Protection Using Polymer Composites
2.6 Intellectual Property
References
Chapter 3 Mathematical Principles for Chemical Product Design
3.1 Factorial and Fractional Factorial Design
3.2 Response Surface Methods and Designs
3.3 D‐Optimal Designs
3.4 Bayesian Design of Fractional Factorial Experiments
3.5 Regression Analysis
3.6 Artificial Neural Networks
3.7 Mixture Design of Experiments
3.8 Multiway Principal Component Analysis
3.8.1 Model‐based Principal Component Analysis (MB‐PCA)
3.8.2 MPLS Analysis Using NIPALS
References
Chapter 4 Disinfectant Formulation Design
4.1 Introduction
4.2 Disinfectants Characteristics
4.2.1 Antimicrobial Tests
4.2.2 Stability Tests
4.2.3 Corrosion Tests
4.3 Toxicity of Disinfectants
4.3.1 Harmful (Xn)
4.3.2 Severe Eye Damage, Xi (R41)
4.3.3 Eye Irritant, Xi (R36)
4.3.4 Skin Irritant, Xi (R38)
4.3.5 Respiratory Irritant, Xi (R37)
4.4 Experimental Design for Antimicrobial Activity
4.4.1 Prior Knowledge
4.4.2 Historical Data Augmentation
4.4.3 Linear Least Squares Regression Analysis
4.4.4 Artificial Neural Networks
4.5 Experimental Design for Stability of Hydrogen Peroxide
4.5.1 Historical Data Analysis
4.5.2 Historical Data Augmentation Using Bayesian D‐optimality Approach
4.6 Experimental Design for Corrosion
4.6.1 Preliminary Experimental Design
4.6.2 Response Surface Methodology
4.6.3 Artificial Neural Networks
4.7 Final Formulation Optimization
4.7.1 Optimization
4.7.2 Optimized Formulation Verification
4.7.3 Comparing the Optimized Formulations to an Available Product
4.8 Conclusion
References
Chapter 5 Streptomyces Lividans 66 for developing a Minimal Defined Medium for Recombinant Human Interleukin‐3
5.1 Introduction
5.2 Materials and Methods
5.2.1 Microorganism and Medium
5.2.2 Analytical Methods
5.2.3 Experimental Design and Data Analysis
5.3 Results and Discussion
5.3.1 Starvation Trails
5.3.2 Screening Mixture Experiments
5.3.3 Defined Medium Optimization by Mixture Design Method
5.4 Conclusion
References
Chapter 6 Multivariate Modeling of a Chemical Toner Manufacturing Process
6.1 Introduction
6.1.1 Process and Data Description
6.1.2 Model Cross‐Validation
6.2 Results and Discussion
6.3 Conclusion
References
Chapter 7 Wheat Straw Fiber Size Effects on the Mechanical Properties of Polypropylene Composites
7.1 Introduction
7.2 Materials and Methods
7.2.1 Materials
7.2.2 Fiber Preparation and Size Measurement
7.2.3 Fiber Thermal and Chemical Analysis
7.2.4 Composite Sample Preparation and Properties Measurement
7.3 Results and Discussions
7.3.1 Fiber Fractionation and Size Measurement
7.3.2 Fiber Thermal and Chemical Analysis
7.3.3 Fiber Size Reduction During Compounding Process
7.3.4 Composite Flexural Properties
7.3.5 Composite Impact Properties
7.3.6 Composite‐Specific Properties
7.4 Conclusion
References
Chapter 8 Framework for Product Design of Wheat Straw Polypropylene Composite
8.1 Introduction
8.2 Product Design Framework for WS‐PP Composite
8.3 Response Surface Models
8.3.1 The Design of Mixture Experiment
8.3.2 Materials and Methods
8.3.3 Results and Discussion
8.3.3.1 Flexural Modulus
8.3.3.2 Izod Impact Strength
8.3.3.3 Other Properties
8.4 Case Study
8.5 Conclusion
References
Chapter 9 Product Design for Gasoline Blends to Control Environmental Impact Using Novel Sustainability Indices: A Case Study
9.1 Introduction
9.2 Methodology
9.2.1 The Impacts of Gasoline Blends on Octane Number (ON)
9.2.2 The Impacts of Blending Ethanol and Gasoline on Mileage
9.2.3 The Effects of Ethanol, Methanol, and Isooctane on the Octane Number of Gasoline Blends
9.2.4 The Impacts of E5, M5, and I5 on Heat Value, Mileage, and Price
9.2.5 Impacts of E5, M5, and I5 on Environment in Potential Environmental Impacts (PEIs)
9.2.6 The Impacts of E5, M5, and I5 on Safety Risk
9.2.7 Selecting the Best Blend Through the Analytic Hierarchy Process (AHP)
9.3 Results
9.4 Conclusion
References
Chapter 10 Corrosion Protection of Copper Using Polyetherimide/Graphene Composite Coatings
10.1 Introduction
10.2 Experimental
10.2.1 Material
10.2.2 Composite Preparation, Coating, and Curing
10.2.3 Morphology Characterization
10.2.4 Adhesion
10.2.5 Electrochemical Measurement
10.3 Results and Discussion
10.3.1 Morphology
10.3.2 Adhesion
10.3.3 Potentiodynamic Measurements
10.3.4 Impedance
10.4 Conclusion
References
Chapter 11 Optimization of Mechanical Properties of Polypropylene Montmorillonite Nanocomposites
11.1 Introduction
11.2 Methodology
11.3 Mathematical Models
11.4 Optimization Mechanism
11.5 Results and Discussion
11.5.1 Minimizing the Cost of PP‐OMMT
11.5.2 Minimizing the Variance Between Desired Properties
11.6 Conclusion
References
Chapter 12 Product Selection and Business Portfolio for Long‐Range Financial Stability: Case Study from the Petrochemical Industry
12.1 Introduction
12.2 Manufacturing Strategy and Product Selection Tools
12.3 Model Development
12.4 Illustrative Case Study
12.5 Conclusion
References
Index
EULA
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