scholarly journals Dynamic modeling of the isoamyl acetate reactive distillation process

2017 ◽  
Vol 19 (1) ◽  
pp. 59-66 ◽  
Author(s):  
Syed Sadiq Ali ◽  
Sk Safdar Hossain ◽  
Mohammad Asif
Keyword(s):  
Dynamic Modeling ◽  
Process Parameters ◽  
Reactive Distillation ◽  
Scale Up ◽  
Isoamyl Acetate ◽  
Industrial Applications ◽  
Process Conditions ◽  
Whole Process ◽  
Product Flow ◽  
The Stability

Abstract The cost-effectiveness of reactive distillation (RD) processes makes them highly attractive for industrial applications. However, their preliminary design and subsequent scale-up and operation are challenging. Specifically, the response of RD system during fluctuations in process parameters is of paramount importance to ensure the stability of the whole process. As a result of carrying out simulations using Aspen Plus, it is shown that the RD process for isoamyl acetate production was much more economical than conventional reactor distillation configuration under optimized process conditions due to lower utilities consumption, higher conversion and smaller sizes of condenser and reboiler. Rigorous dynamic modeling of RD system was performed to evaluate its sensitivity to disturbances in critical process parameters; the product flow was quite sensitive to disturbances. Even more sensitive was product composition when the disturbance in heat duties of condenser or reboiler led to a temperature decrease. However, positive disturbance in alcohol feed is of particular concern, which clearly made the system unstable.

scholarly journals Taguchi optimization and scale up of xylanase from Bacillus licheniformis isolated from hot water geyser

2020 ◽  
Vol 18 (1) ◽  
Author(s):  
Girisha Malhotra ◽  
Shilpa S. Chapadgaonkar
Keyword(s):  
Process Parameters ◽  
Wheat Bran ◽  
Scale Up ◽  
Industrial Applications ◽  
Hot Water ◽  
Optimization Strategy ◽  
Taguchi Optimization ◽  
Xylanase Production ◽  
Alkali Tolerance ◽  
Optimized Conditions

Abstract Background Xylanase is one of the widely applied industrial enzymes with diverse applications. Thermostability and alkali tolerance are the two most desirable qualities for industrial applications of xylanase. In this paper, we reveal the statistical Taguchi optimization strategy for maximization of xylanase production. The important process parameters pH, temperature, concentration of wheat bran, and concentration of yeast extract were optimized using the Taguchi L8 orthogonal array where the 4 factors were considered at 2 levels (high and low). Results The optimized conditions given by model were obtained as follows: (i) pH 6, (ii) culture temperature 35 °C, (iii) concentration of xylan 2% w/v, (iv) concentration of wheat bran 2.5% w/v. The production was scaled upto 2.5 L bioreactor using optimized process parameters. A high xylanase titer of 400 U/ml could be achieved in less than 60 h of culture in the reactor. Conclusion Optimization was successful in achieving about threefold increase in the yield of xylanase. The optimized conditions resulted in a successful scale up and enhancement of xylanase production.

Reactive distillation — industrial applications, process design & scale-up

2001 ◽  
Vol 56 (2) ◽  
pp. 387-394 ◽  
Author(s):  
A Tuchlenski ◽  
A Beckmann ◽  
D Reusch ◽  
R Düssel ◽  
U Weidlich ◽  
...  
Keyword(s):  
Process Design ◽  
Reactive Distillation ◽  
Scale Up ◽  
Industrial Applications

scholarly journals Additive Manufacturing of AISI 420 Stainless Steel: processes validation, defects analysis and mechanical characterization in different process and post-process conditions.

2021 ◽  
Author(s):  
Erica Liverani ◽  
Alessandro Fortunato
Keyword(s):  
Mechanical Properties ◽  
Stainless Steel ◽  
Process Parameters ◽  
High Hardness ◽  
Industrial Applications ◽  
Production Cycle ◽  
Process Conditions ◽  
Post Process ◽  
Aisi 420 ◽  
Defects Analysis

Abstract Stainless steel (SS) alloys produced by Laser-based Powder Bed Fusion (LPBF) process offers comparable and sometime improved mechanical properties respect to conventionally processed materials. Some of these steels have been extensively studied in the last decade, however additively manufactured martensitic SS, as AISI 420, need further research in characterizing their post built quality and mechanical behaviour. This lack of information on martensitic SS is not consistent with their growing demand in the automotive, medical and aerospace industries due to their good corrosion resistance, high hardness and good tensile properties. Selection of the appropriate process parameters and post treatments plays a fundamental role in determining final properties. For this reason, the effect of LPBF process parameters and different heat treatments on density, defects characteristics and location, roughness and mechanical properties of AISI 420 were investigated in this paper. A first experimental campaign was carried out to establish different set of suitable process parameters for industrial applications. Starting from this result, the detected defects properties was investigated by Computed Tomography (CT) scans. Dimensions, sphericity and distributions of defects inside the volume were analysed and compared between samples manufactured with different parameters. In the second part of the paper, the influence of process and post process conditions on mechanical properties was investigated. The final presented results establish a correlation between the involved production cycle and the resulting properties of LPBF AISI 420 specimens.

Micro Pattern Filling Simulation to See the Effects of Process Parametric Variables on Imprinting

2007 ◽  
Author(s):  
Jinho Mok ◽  
Sukwon Lee ◽  
JeHyoung Ryu ◽  
Hyuk Kim ◽  
Sin Kwon ◽  
...  
Keyword(s):  
Process Parameters ◽  
Quantitative Data ◽  
New Technology ◽  
Process Conditions ◽  
Whole Process ◽  
Free Process ◽  
Micro Pattern ◽  
Minimum Number ◽  
Set Up ◽  
Nano Imprint

The nano imprint lithography, a new approach to lithography, is a very useful alternative for the conventional photolithography process. To apply this new technology to the lithography process, new equipment, process parameters and post processes must be taken into consideration. If the defects during imprinting can be detected by optical measuring only after finishing the whole process, the engineers have no choice but analyze the sample of a final form to analogize the cause of defects. To set up the optimal process conditions, simulation is a very useful method in terms of not only the minimum number of trial and error but also the quantitative data based design. In this study, a few process parameters that affect the micro pattern forming in the nano imprint process are chosen and examined to present the quantitative data useful to set up the process conditions for the residual bubble free process.

scholarly journals Additive manufacturing of AISI 420 stainless steel: process validation, defect analysis and mechanical characterization in different process and post-process conditions

2021 ◽  
Author(s):  
Erica Liverani ◽  
Alessandro Fortunato
Keyword(s):  
Mechanical Properties ◽  
Stainless Steel ◽  
Process Parameters ◽  
High Hardness ◽  
Industrial Applications ◽  
Production Cycle ◽  
Process Conditions ◽  
Post Process ◽  
Aisi 420 ◽  
Lack Of Information

AbstractStainless steel (SS) alloys produced by laser-based powder bed fusion (LPBF) offers comparable and sometime superior mechanical properties compared to conventionally processed materials. Some of these steels have been extensively studied over the last decade; however additively manufactured martensitic SS, such as AISI 420, need further research in characterizing their post-built quality and mechanical behaviour. This lack of information on martensitic SS is not consistent with their growing demand in the automotive, medical and aerospace industries due to their good corrosion resistance, high hardness and good tensile properties. Selection of the appropriate process parameters and post treatments plays a fundamental role in determining final properties. For this reason, the effect of LPBF process parameters and different heat treatments on density, defect characteristics and locations, roughness and mechanical properties of AISI 420 were investigated in this paper. A first experimental campaign was carried out to establish a set of suitable process parameters for industrial applications. Starting from this result, detected defect properties were investigated by computed tomography (CT) scans. Dimensions, sphericity and distributions of defects inside the volume were analysed and compared between samples manufactured with different parameters. In the second part of the paper, the influence of process and post-process conditions on mechanical properties was investigated. The final presented results establish a correlation between the employed production cycle and the resulting properties of LPBF AISI 420 specimens.

scholarly journals Suboptimal Disturbance Observer Design Using All Stabilizing Q Filter for Precise Tracking Control

Mathematics ◽  
2020 ◽  
Vol 8 (9) ◽  
pp. 1434 ◽  
Author(s):  
Wonhee Kim ◽  
Sangmin Suh
Keyword(s):  
Design Method ◽  
Industrial Applications ◽  
Point Of View ◽  
Observer Design ◽  
Linear Matrix ◽  
External Disturbances ◽  
Closed Loop Systems ◽  
Control Target ◽  
The Stability ◽  
Unified Index

For several decades, disturbance observers (DOs) have been widely utilized to enhance tracking performance by reducing external disturbances in different industrial applications. However, although a DO is a verified control structure, a conventional DO does not guarantee stability. This paper proposes a stability-guaranteed design method, while maintaining the DO structure. The proposed design method uses a linear matrix inequality (LMI)-based H∞ control because the LMI-based control guarantees the stability of closed loop systems. However, applying the DO design to the LMI framework is not trivial because there are two control targets, whereas the standard LMI stabilizes a single control target. In this study, the problem is first resolved by building a single fictitious model because the two models are serial and can be considered as a single model from the Q-filter point of view. Using the proposed design framework, all-stabilizing Q filters are calculated. In addition, for the stability and robustness of the DO, two metrics are proposed to quantify the stability and robustness and combined into a single unified index to satisfy both metrics. Based on an application example, it is verified that the proposed method is effective, with a performance improvement of 10.8%.

scholarly journals Influence of High-Productivity Process Parameters on the Surface Quality and Residual Stress State of AISI 316L Components Produced by Directed Energy Deposition

2021 ◽  
Author(s):  
Gabriele Piscopo ◽  
Alessandro Salmi ◽  
Eleonora Atzeni
Keyword(s):  
Surface Roughness ◽  
Residual Stresses ◽  
Surface Quality ◽  
Process Parameters ◽  
Energy Deposition ◽  
Industrial Applications ◽  
High Productivity ◽  
Directed Energy Deposition ◽  
Productivity Process ◽  
Directed Energy

AbstractThe production of large components is one of the most powerful applications of laser powder-directed energy deposition (LP-DED) processes. High productivity could be achieved, when focusing on industrial applications, by selecting the proper process parameters. However, it is of crucial importance to understand the strategies that are necessary to increase productivity while maintaining the overall part quality and minimizing the need for post-processing. In this paper, an analysis of the dimensional deviations, surface roughness and subsurface residual stresses of samples produced by LP-DED is described as a function of the applied energy input. The aim of this work is to analyze the effects of high-productivity process parameters on the surface quality and the mechanical characteristics of the samples. The obtained results show that the analyzed process parameters affect the dimensional deviations and the residual stresses, but have a very little influence on surface roughness, which is instead dominated by the presence of unmelted particles.

scholarly journals Status Update on Bioelectrochemical Systems: Prospects for Carbon Electrode Design and Scale-Up

Catalysts ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 278
Author(s):  
Katharina Herkendell
Keyword(s):  
Gradual Increase ◽  
Scale Up ◽  
Value Added ◽  
Biofuel Cells ◽  
Carbon Electrode ◽  
Electrode Design ◽  
Bioelectrochemical Systems ◽  
Electrode Assemblies ◽  
The Stability ◽  
Scientific Attention

Bioelectrochemical systems (BES) employ enzymes, subcellular structures or whole electroactive microorganisms as biocatalysts for energy conversion purposes, such as the electrosynthesis of value-added chemicals and power generation in biofuel cells. From a bioelectrode engineering viewpoint, customizable nanostructured carbonaceous matrices have recently received considerable scientific attention as promising electrode supports due to their unique properties attractive to bioelectronics devices. This review demonstrates the latest advances in the application of nano- and micro-structured carbon electrode assemblies in BES. Specifically, in view of the gradual increase in the commercial applicability of these systems, we aim to address the stability and scalability of different BES designs and to highlight their potential roles in a circular bioeconomy.

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