Selection of steels for the manufacture of carbamide-production equipment

1981 ◽  
Vol 16 (5) ◽  
pp. 464-465
Author(s):  
V. I. Pokhmurskii ◽  
V. A. Borisenko
Keyword(s):  
Production Equipment ◽  
Selection Of ◽  
Carbamide Production

scholarly journals Circular Economy Strategies for Equipment Lifetime Extension: A Systematic Review

2021 ◽  
Vol 13 (3) ◽  
pp. 1117
Author(s):  
Alessandro Fontana ◽  
Andrea Barni ◽  
Deborah Leone ◽  
Maurizio Spirito ◽  
Agata Tringale ◽  
...  
Keyword(s):  
Life Cycle ◽  
Circular Economy ◽  
Resource Scarcity ◽  
Production Equipment ◽  
Environmental Standards ◽  
Multiple Strategies ◽  
Medium Enterprise ◽  
Equipment Lifetime ◽  
Selection Of ◽  
Lifetime Extension

Even if the economy nowadays is still locked into a linear model of production, tighter environmental standards, resource scarcity and changing consumer expectations are forcing organizations to find alternatives to lighten their impacts. The concept of Circular Economy (CE) is to an increasing extent treated as a solution to this series of challenges. That said, the multitude of approaches and definitions around CE and Life Cycle Extension Strategies (LCES) makes it difficult to provide (Small and Medium Enterprise) SMEs with a consistent understanding of the topic. This paper aims at bridging this gap by providing a systematic literature review of the most prominent papers related to the CE and lifetime extension, with a particular focus on the equipment and machinery sector. A taxonomy was used to define and cluster a subset of selected papers to build a homogeneous approach for understanding the multiple strategies used in the industry, and the standards in maintenance and remanufacturing strategies. As a final research step, we also propose a Strategy Characterization Framework (SCF) to build the ground for the selection of the best strategy to be applied for production equipment life cycle extension on several industrial use cases.

Selection of corrosion inhibitors for the protection of oil production equipment

2007 ◽  
Vol 43 (7) ◽  
pp. 643-647 ◽  
Author(s):  
R. K. Vagapov ◽  
V. S. Bizyaeva ◽  
V. I. Kichigin
Keyword(s):  
Corrosion Inhibitors ◽  
Oil Production ◽  
Production Equipment ◽  
Selection Of

Microbial-based magnetic nanoparticles production: a mini-review

2021 ◽  
Author(s):  
Victor Chmykhalo ◽  
Anna Belanova ◽  
Mariya Belousova ◽  
Vera Butova ◽  
Yuriy Makarenko ◽  
...  
Keyword(s):  
Magnetic Nanoparticles ◽  
Biomedical Application ◽  
Continuous Production ◽  
Production Equipment ◽  
Synthesis Methods ◽  
Microbial Synthesis ◽  
Proper Selection ◽  
Increasing Demand ◽  
Selection Of ◽  
Precursor Ions

Abstract The ever-increasing biomedical application of magnetic nanoparticles (MNPs) implies increasing demand in their scalable and high-throughput production, with finely tuned and well-controlled characteristics. One of the options to meet the demand is microbial production by nanoparticles-synthesizing bacteria. This approach has several benefits over the standard chemical synthesis methods, including improved homogeneity of synthesis, cost-effectiveness, safety and eco-friendliness. There are, however, specific challenges emanating from the nature of the approach that are to be accounted and resolved in each manufacturing instance. Most of the challenges can be resolved by proper selection of the producing organism and optimizing cell culture and nanoparticles extraction conditions. Other issues require development of proper continuous production equipment, medium usage optimization and precursor ions recycling. This mini-review focuses on the related topics in microbial synthesis of MNPs: producing organisms, culturing methods, nanoparticles characteristics tuning, nanoparticles yield and synthesis timeframe considerations, nanoparticles isolation as well as on the respective challenges and possible solutions.

Base Material Considerations and the Selection of NACE Approved High-Strength Alloy Overlay for Use on HP/HT Exploration and Production Equipment

2008 ◽  
Author(s):  
Phil Huff ◽  
Shafiqul Islam Khandoker ◽  
Greg Landthrip ◽  
Melissa Newbury
Keyword(s):  
Base Material ◽  
High Strength ◽  
Production Equipment ◽  
Exploration And Production ◽  
Strength Alloy ◽  
Selection Of

scholarly journals SUITABLE PRODUCTION TOOLS SELECTION WITH THE USE OF EVOLUTIONARY ALGORITHMS

2020 ◽  
Vol 60 (1) ◽  
pp. 56-64
Author(s):  
Petr Hynek ◽  
Viktor Kreibich ◽  
Roman Firt
Keyword(s):  
Evolutionary Algorithms ◽  
Automotive Industry ◽  
Spot Welding ◽  
Production Systems ◽  
Welding Process ◽  
Production Equipment ◽  
Welding Equipment ◽  
Simulation Results ◽  
Selection Of

This paper deals with the use of a production equipment simulation in the design of production systems, more specifically the welding equipment in the automotive industry. Based on the simulation results, a matrix, which defines the possibility of using given manufacturing tools (in this case welding guns are considered) to connect the plates using the electrical resistance spot welding process, is created. This matrix generates a set of several numbers of solutions depending on other parameters, such as the lowest price, the lowest number of used welding guns, etc. The goal is to solve this task. The solution is presented using mathematical programming. Specifically, the method of genetic evolutionary algorithms is being used. The Solver software is used to optimize the selection of the welding guns’ combination. The Solver is an add-on in MS Excel. The case study shows 15 welding points weldment on which the availability of 20 types of welding guns was simulated. The result is an ideal combination of 2 types of guns for the lowest price.

scholarly journals Intelligent Algorithm for Variable Scale Adaptive Feature Separation of Mechanical Composite Fault Signals

Energies ◽  
2021 ◽  
Vol 14 (22) ◽  
pp. 7702
Author(s):  
Shu Han ◽  
Xiaoming Liu ◽  
Yan Yang ◽  
Hailin Cao ◽  
Yuanhong Zhong ◽  
...  
Keyword(s):  
Production Equipment ◽  
Signal Decomposition ◽  
Reconstruction Method ◽  
Intelligent Algorithm ◽  
Excellent Performance ◽  
Marine Predator ◽  
Mode Decomposition ◽  
Transmission Equipment ◽  
Parameters Selection ◽  
Selection Of

With the development of modern industry and scientific technology, production equipment plays an increasingly important role in military and industrial production, and the fault detection signal of gears and bearings state in transmission equipment becomes very important. Therefore, this paper proposes a gear-bearing composite fault signal decomposition and reconstruction method, which combines the marine predator algorithm (MPA) and variational mode decomposition (VMD) technologies. For the parameters’ selection of VMD, the optimization algorithm allows us to quickly and accurately obtain the results with the best kurtosis correlation index after signal decomposition and reconstruction. The experiments demonstrate the excellent performance of our method in the field of separation and denoising mixed gear-bearing fault signals.

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