Drying of ginger slices—Evaluation of quality attributes, energy consumption, and kinetics study

2019 ◽  
Vol 43 (2) ◽  
Author(s):  
Richard Osae ◽  
Gloria Essilfie ◽  
Raphael N. Alolga ◽  
Ernest Bonah ◽  
Haile Ma ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Quality Attributes ◽  
Kinetics Study

Energieverbrauchssimulation von Werkzeugmaschinen*/Process-specific energetic simulation of machine tools

2016 ◽  
Vol 106 (01-02) ◽  
pp. 60-64
Author(s):  
S. Braun ◽  
P. Schraml ◽  
E. Abele
Keyword(s):  
Energy Consumption ◽  
Machine Tools ◽  
Value Added ◽  
Quality Attributes ◽  
Resource Efficiency ◽  
Prediction System ◽  
Critical Quality Attributes ◽  
Milling Operations ◽  
Nc Program ◽  
Modern Machine

Energie- und Ressourceneffizienz sind Qualitätsmerkmale, die auch für moderne Werkzeugmaschinen gelten. Der Energieverbrauch von Maschinen bis zu gesamten Fertigungsstandorten muss im Verhältnis zur erzielten Wertschöpfung deutlich gesenkt werden, um wettbewerbsfähig zu bleiben und unserer Verantwortung gegenüber der Umwelt zu entsprechen. Dieser Beitrag präsentiert anhand eines Fräsprozesses ein modellgestütztes Simulations- und Prognosesystem des Energieverbrauchs von kompletten Bearbeitungsoperationen auf einer Werkzeugmaschine als Basis energetischer Optimierungen.   Resource efficiency and energy consumption are critical quality attributes of modern machine tools. The energy consumption of machine tools, plants and facilities must be significantly reduced relative to the value added in order to stay competitive and fulfil our responsibility towards the environment. This article presents a model-based simulation and prediction system of the expected energy consumption of machine tools executing a given process NC-program as a basis for energetic optimization measures. It is exemplified by milling operations.

Multiobjective optimization of parboiled rice quality attributes and total energy consumption

2020 ◽  
Vol 15 (3) ◽  
pp. 24-33
Author(s):  
Mayowa Saheed Sanusi ◽  
Rahman Akinoso
Keyword(s):  
Energy Consumption ◽  
Multiobjective Optimization ◽  
Total Energy ◽  
Quality Attributes ◽  
Total Energy Consumption ◽  
Soaking Time ◽  
Rice Quality ◽  
Parboiled Rice ◽  
Head Rice ◽  
Soaking Temperature

This study was designed to investigate, model and optimize the effect of process factors (soaking temperature, soaking time, steaming time and paddy moisture content) on rice quality attributes and total energy consumption of a commercially grown rice variety (FARO 60) using response surface methodology. The optimum processing conditions obtained for the rice quality attributes and total energy consumption varies from one another. The milling recovery, head rice yield, white bellies, lightness, colour, and total energy consumption values of the parboiled rice ranges from 68.46 - 72.34%; 67.71 - 71.42%; 0.50 - 4.30%; 22.03 - 33.00; 14.10 - 21.21 and 45.27 - 73.68 MJ, respectively. The second-order polynomial models were observed to be fit in predicting milling recovery, head rice yield, white bellies and total energy consumption with the coefficient of determination (R2) that range from 78.71 to 95.03% while colour and lightness values were not fit with R2 ranging from 24.05 to 52.95%. The multiobjective optimization for desirable parboiled rice quality attributes and total energy consumption showed that universal optimum condition was found at 64°C soaking temperature, 11 h soaking time, 35 min steaming time and 17% paddy moisture content. The approach used and information obtained from this study would be useful for rice processors as a strategic means of minimizing total energy consumption, without compromising its desirable quality attributes. Keywords: Multiobjective Optimization; Parboiled Rice Quality Attributes; Total Energy Consumption

scholarly journals Grinding Kinetics Study of Tungsten Ore

Metals ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 71
Author(s):  
Jennire V. Nava ◽  
Alfredo L. Coello-Velázquez ◽  
Juan M. Menéndez-Aguado
Keyword(s):  
Energy Consumption ◽  
Raw Material ◽  
Selection Function ◽  
Kinetics Study ◽  
Essential Step ◽  
Breakage Function ◽  
European Industry ◽  
Grinding Kinetics ◽  
Tungsten Concentration ◽  
Mill Speed

The European Commission (EC) maintains the consideration of tungsten as a critical raw material for the European industry, being the comminution stage of tungsten-bearing minerals an essential step in the tungsten concentration process. Comminution operations involve approximately 3–4% of worldwide energy consumption; therefore, grinding optimization should be a priority. In this study, the grinding behavior of tungsten ore from Barruecopardo Mine (Salamanca, Spain) is analyzed. A protocol based on Austin’s methodology and PBM is developed in order to study the influence of operational and geometallurgical variables on grinding kinetics. In addition to the kinetic parameters, the breakage probability (Si) and breakage function (Bij) is determined. The selection function was formulated for the Barruecopardo Mine with respect to the mill speed.

Lay Perceptions of Energy Consumption

2009 ◽  
Author(s):  
Shahzeen Z. Attari ◽  
Michael L. DeKay ◽  
Cliff I. Davidson ◽  
Wandi Bruine de Bruin
Keyword(s):  
Energy Consumption ◽  
Lay Perceptions

Pulse radiolysis of polymers in aqueous solution. Kinetics study

1997 ◽  
Vol 94 ◽  
pp. 244-250 ◽  
Author(s):  
I Janik ◽  
P Kujawa ◽  
P Ulanski ◽  
JM Rosiak
Keyword(s):  
Aqueous Solution ◽  
Pulse Radiolysis ◽  
Kinetics Study ◽  
Solution Kinetics

Study on Energy Consumption by Land Cargo Transportation

ICCTP 2009 ◽  
2009 ◽  
Author(s):  
Shunquan Huang ◽  
Siqin Yu ◽  
Zhongmin Liu
Keyword(s):  
Energy Consumption ◽  
Cargo Transportation

Interference mitigation in point to point wireless sensor networks using LSP protocol and time division multiplexing approach

2020 ◽  
Vol 39 (4) ◽  
pp. 5449-5458
Author(s):  
A. Arokiaraj Jovith ◽  
S.V. Kasmir Raja ◽  
A. Razia Sulthana
Keyword(s):  
Energy Consumption ◽  
Large Scale ◽  
Control Parameter ◽  
Interference Mitigation ◽  
Wireless Sensor ◽  
Point To Point ◽  
A Minor ◽  
Two Stages ◽  
Time Division ◽  
And Control

Interference in Wireless Sensor Network (WSN) predominantly affects the performance of the WSN. Energy consumption in WSN is one of the greatest concerns in the current generation. This work presents an approach for interference measurement and interference mitigation in point to point network. The nodes are distributed in the network and interference is measured by grouping the nodes in the region of a specific diameter. Hence this approach is scalable and isextended to large scale WSN. Interference is measured in two stages. In the first stage, interference is overcome by allocating time slots to the node stations in Time Division Multiple Access (TDMA) fashion. The node area is split into larger regions and smaller regions. The time slots are allocated to smaller regions in TDMA fashion. A TDMA based time slot allocation algorithm is proposed in this paper to enable reuse of timeslots with minimal interference between smaller regions. In the second stage, the network density and control parameter is introduced to reduce interference in a minor level within smaller node regions. The algorithm issimulated and the system is tested with varying control parameter. The node-level interference and the energy dissipation at nodes are captured by varying the node density of the network. The results indicate that the proposed approach measures the interference and mitigates with minimal energy consumption at nodes and with less overhead transmission.

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