第 1/1 張圖片
Zivorad R. Lazi Full Scale Plant Optimization in Chemical Engineerin (Hardback)
Another great item from Rarewaves USA | Free delivery!
狀況：
運費：
所在地：60502, 美國
送達日期：
估計於 6月1日, 六至 6月5日, 三之間送達 運送地點 43230
退貨：
保障：
請參閱物品說明或聯絡賣家以取得詳細資料。閱覽全部詳情查看保障詳情
（不符合「eBay 買家保障方案」資格）
安心購物
物品細節
- 物品狀況
- 全新: 全新，未閱讀過和使用過的書籍，狀況完好，不存在缺頁或內頁受損。 查看所有物品狀況定義會在新視窗或分頁中開啟
- Book Title
- Full Scale Plant Optimization in Chemical Engineering
- Title
- Full Scale Plant Optimization in Chemical Engineering
- Subtitle
- A Practical Guide
- EAN
- 9783527350384
- ISBN
- 9783527350384
- Genre
- Technology & Engineering
- Subject
- Science Nature & Math
- Release Date
- 07/06/2022
- Release Year
- 2022
- Country/Region of Manufacture
- DE
- Publication Year
- 2022
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Publication Name
- Full Scale Plant Optimization in Chemical Engineering : a Practical Guide
- Item Height
- 0.8in
- Item Length
- 9.6in
- Publisher
- Wiley & Sons, Incorporated, John
- Item Width
- 6.7in
- Item Weight
- 24.1 Oz
- Number of Pages
- 272 Pages
關於產品
Product Information
Full Scale Plant Optimization in Chemical Engineering Highlights the basic principles and applications of the primary three methods in plant and process optimization for responsible operators and engineers. Chemical engineers are a vital part of the creation of any process development--lab-scale and pilot-scale--for any plant. In fact, they are the lynchpin of later efforts to scale-up and full-scale plant process improvement. As these engineers approach a new project, there are three generally recognized methodologies that are applicable in industry generally: Design of Experiments (DOE), Evolutionary Operations (EVOP), and Data Mining Using Neural Networks (DM). In Full Scale Plant Optimization in Chemical Engineering, experienced chemical engineer Zivorad R. Lazic offers an in-depth analysis and comparison of these three methods in full-scale plant optimization applications. The book is designed to provide the basic principles and necessary information for complete understanding of these three methods (DOE, EVOP, and DM). The application of each method is fully described. Full Scale Plant Optimization in Chemical Engineering readers will also find: A thorough discussion of the advantages, disadvantages and applications for the five different EVOP methods (BEVOP, ROVOP, REVOP, QSEVOP & SEVOP) with examples and simulations An overview of EVOP tools that responsible operators and engineers utilize in deciding which EVOP method is the most appropriate for the certain type of the process Particular attention is given to the simple but powerful technique Evolutionary Operation or EVOP, which provides the experimental tools for the full scale plant optimization Full Scale Plant Optimization in Chemical Engineering is a useful reference for all chemists in industry, chemical engineers, pharmaceutical chemists, and process engineers.
Product Identifiers
Publisher
Wiley & Sons, Incorporated, John
ISBN-10
3527350381
ISBN-13
9783527350384
eBay Product ID (ePID)
25057254795
Product Key Features
Publication Name
Full Scale Plant Optimization in Chemical Engineering : a Practical Guide
Format
Hardcover
Language
English
Publication Year
2022
Type
Textbook
Number of Pages
272 Pages
Dimensions
Item Length
9.6in
Item Height
0.8in
Item Width
6.7in
Item Weight
24.1 Oz
Additional Product Features
Lc Classification Number
Tp155.75
Table of Content
Preface ix Biography xii 1 The Basic Ideas 1 1.1 Introduction 1 2 Design of Experiments - DOE 3 2.1 The 2 2 Factorial Designs 4 2.2 Effects for 2 2 Factorial Designs 6 2.3 Interactions Between Factors 6 2.4 Standard Error for the Effects 7 2.5 2 3 Factorial Design 7 2.6 Effects for the 2 3 Factorial Designs 9 2.7 Standard Errors of Effects for Two- and Three-Level Factorial Designs 10 3 Neural Network Modeling - Data Mining 17 3.1 Data Preprocessing 18 3.2 Building, Training, and Verifying Model 19 3.3 Model Analyzing 21 3.4 What-Ifs Optimization 25 3.5 DOE Experiment Using Neural Networks Model 26 4 Evolutionary Operation - EVOP 29 4.1 Small-Scale and Plant-Scale Investigation 29 4.2 Scale-up 29 4.3 Static and Evolutionary Operation 30 4.4 Analysis of Information Board 34 4.5 Three-Factor Scheme 35 4.6 Current Best-Known Conditions 36 4.7 Change in Mean for a 2 2 Factorial Design with Center Point 38 4.8 Standard Errors for the Effects 38 4.9 The Effects and Their Standard Errors for a 2 2 Design with Center Point 40 4.10 Analysis of Information Board for Three Responses Using Factorial Effects 40 4.11 2 3 Factorial Design Effects, Interpretation, and Information Board 41 4.11.1 An Estimate of Standard Deviation 43 4.12 Dividing the 2 3 Factorial Design Into Two Blocks 45 4.13 2 3 Design with Two Center Points Run in Two Blocks 45 4.13.1 Two Standard Error Limits for the Overall Change in Mean 46 5 Different Techniques of EVOP 49 5.1 Box EVOP - BEVOP 49 5.2 Calculation Procedure for Two-Factor EVOP 50 5.3 Calculation Procedure for Three-Factor EVOP 54 5.4 BEVOP in Plant-Scale Experiments 93 5.5 BEVOP Applications 96 5.6 BEVOP Advantages and Disadvantages 99 5.7 BEVOP Simulation 100 5.7.1 2 2 BEVOP Simulation 100 5.7.1.1 Simulation No. 1 100 5.7.1.2 Simulation No. 2: 2 2 BEVOP 117 5.7.1.3 Simulation No. 3: 2 2 BEVOP 127 5.7.2 2 3 BEVOP Simulation 134 5.7.2.1 Simulation No. 4 134 5.8 Rotating Square Evolutionary Operation - ROVOP 155 5.8.1 2 2 Rovop 155 5.8.2 Method of Analysis 157 5.8.3 2 2 ROVOP Simulation 158 5.8.3.1 Simulation No. 5 158 5.8.4 2 3 ROVOP Simulation 185 5.8.4.1 Simulation No. 6: 2 3 ROVOP 186 5.9 Random Evolutionary Operation - REVOP 198 5.9.1 REVOP Simulation 200 5.9.1.1 Simulation No. 7 200 5.10 Quick-Start EVOP - QSEVOP 204 5.10.1 The way QSEVOP works 204 5.10.2 How to Recover From "Hang-ups" 207 5.11 QSEVOP Simulation 208 5.11.1 Simulation No. 8 208 5.12 Simplex Evolutionary Operation - SEVOP 214 5.12.1 The Basic Simplex Method 214 5.12.2 Simplex Evolutionary Operation - SEVOP 223 5.12.3 SEVOP Simulation 228 5.12.3.1 Simulation S-9 228 5.12.3.2 Simulation S-10 231 5.13 Some Practical Advice About Using EVOP 233 6 EVOP Software 235 Appendix A The Approximate Method of Estimating the Standard Deviation in EVOP 237 Appendix B 2 2 -and2 3 -Factor Box EVOP Calculations with Center Point 239 Appendix C Short Table of Random Normal Deviates 243 Appendix d How Many Cycles Are Necessary to Detect Effects of Reasonable Size 245 Appendix E Multiple Responses: The Desirability Approach 247 References 253 Index 257
Copyright Date
2022
Topic
Environmental / General, Industrial Health & Safety, Chemistry / Industrial & Technical
Dewey Decimal
660.281
Intended Audience
Scholarly & Professional
Dewey Edition
23
Genre
Technology & Engineering, Science
賣家提供的物品說明
運費與處理費
物品所在地：
60502, 美國
運送地點
全球
排除：
不丹, 也門, 以色列, 俄羅斯聯邦, 利比亞, 加拿大, 南非, 墨西哥, 奧地利, 委內瑞拉, 寮國, 巴西, 巴貝多, 德國, 意大利, 新喀里多尼亞, 汶萊, 法國, 法屬圭亞那, 法屬玻里尼西亞, 澳洲, 烏克蘭, 瑞士, 瓜德羅普島, 留尼汪島, 白俄羅斯, 英國, 西班牙, 阿富汗, 馬提尼克島
| 運費與處理費 | 運送地點 | 運送方式 | 運送*查看送達備註 |
|---|---|---|---|
| 免運費 | 美國 | Economy Shipping | 估計於 6月1日, 六至 6月5日, 三之間送達 運送地點 43230 |
| 處理時間 |
|---|
| 通常會在收到所有款項後的 4 個工作日內發貨。 |
| 稅項 |
|---|
| 賣家將對以下州別的買家收取銷售稅： |
物品編號 404965246122 的銷售稅
物品編號 404965246122 的銷售稅
賣家會對寄往以下各州的物品收取銷售稅：
| 州／省 | 銷售稅稅率 |
|---|
退貨政策
| 收到物品後聯絡賣家的期限： | 退款方式 |
|---|---|
| 30 日 | 退款, 替換物品 |
買家負責支付退貨運費。
賣家信用評價 （443,996）
9***c (33)- 買家留下的信用評價。
過去 1 個月
購買已獲認證
Excellent music. I loved it.
k***k (333)- 買家留下的信用評價。
過去 1 個月
購買已獲認證
All was well! Fast shipping
l***d (1117)- 買家留下的信用評價。
過去 1 個月
購買已獲認證
Fast shipping! Super smooth transaction! Packaged well and arrived all safe and sound! Thank you!