Reliability-Centered Maintenance (RCM) Approach for a Process Industry: Case Study

2020 ◽  
pp. 429-442 ◽  
Author(s):  
Jayant S. Karajagikar ◽  
B. U. Sonawane
Keyword(s):  
Process Industry ◽  
Reliability Centered Maintenance

A novel evaluation method for energy efficiency of process industry— A case study of typical iron and steel manufacturing process

Energy ◽  
2021 ◽  
pp. 121081
Author(s):  
Hongming Na ◽  
Jingchao Sun ◽  
Ziyang Qiu ◽  
Jianfei He ◽  
Yuxing Yuan ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Manufacturing Process ◽  
Evaluation Method ◽  
Process Industry ◽  
Iron And Steel ◽  
Steel Manufacturing

The Use of Photogrammetry in Piping Design

1983 ◽  
Vol 197 (2) ◽  
pp. 125-138 ◽  
Author(s):  
P A Bracewell ◽  
U R Klement
Keyword(s):  
Information Retrieval ◽  
Mathematical Formulation ◽  
Three Dimensional ◽  
Cost Effective ◽  
Process Industry ◽  
Process Plant ◽  
Definition Of ◽  
High Degree ◽  
Positional Data

Piping design for ‘revamp’ projects in the process industry requires the retrieval of large amounts of ‘as-built’ data from existing process plant installations. Positional data with a high degree of accuracy are required. Photogrammetry, the science of measurement from photographs, was identified in Imperial Chemical Industries plc (ICI) as a suitable tool for information retrieval. The mathematical formulation enabling the definition of three-dimensional positions from photographic information is described. The process of using ICI's photogrammetric system for the definition of complete objects such as structures and pipes is illustrated. The need for specialized photogrammetric software for design purposes is explained. A case study describing how the photogrammetric system has been applied is described and graphical outputs from this exercise are shown. It is concluded that this particular photogrammetric system has proved to be a cost effective and accurate tool for the retrieval of ‘as-built’ information.

scholarly journals A Genetic Algorithm for Scheduling a Semi-Continuous Process Industry: A Case Study

2019 ◽  
Vol 52 (13) ◽  
pp. 1849-1853
Author(s):  
Mohammad M Jalalian ◽  
Fantahun M. Defersha
Keyword(s):  
Genetic Algorithm ◽  
Continuous Process ◽  
Process Industry
Sign in / Sign up

Export Citation Format

Share Document