Experimental process design for sorption capacity of Kogi and Ibusa clay activated with HNO3 and H2SO4 acids in palm oil bleaching

2014 ◽  
Vol 4 (1) ◽  
pp. 71
Author(s):  
Chigozie Francolins Uzoh ◽  
Okey D. Onukwuli ◽  
Joseph Tagbo Nwabanne ◽  
Philo P.K. Igbokwe
Keyword(s):  
Sorption Capacity ◽  
Palm Oil ◽  
Process Design ◽  
Experimental Process

scholarly journals Ultrasonic-Assisted Brazing of Titanium Joints Using Al-Si Based Fillers: Numerical and Experimental Process Design

Metals ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 1686
Author(s):  
Abdulsalam Muhrat ◽  
Joaquim Barbosa
Keyword(s):  
Numerical Model ◽  
Process Design ◽  
Acoustic Pressure ◽  
Joint Interface ◽  
Compression Load ◽  
Experimental Part ◽  
Ultrasonic Assisted ◽  
Experimental Process ◽  
Si Content ◽  
Multiple Conditions

The ultrasonic-assisted brazing process was studied both numerically and experimentally. The ultrasonic brazing system was modeled by considering the actual brazing conditions. The numerical model showed the distribution of acoustic pressure within the filler and its variations according to the gap distance at different brazing temperatures. In the experimental part, brazing joints were studied and evaluated under multiple conditions and parameters. Although either the initial compression load or the ultrasonic vibration (USV) can initiate the interaction at the interface, the combined effect of both helped to produce joints of a higher quality with a relatively short brazing time, which can be further optimized in terms of their mechanical strength. The effect of the Si content on the joint interface, and the effect of the brazing conditions on the microstructures were studied and discussed.

Potential Source and Extraction of Vitamin E From Palm-Based Oils: A Review

2014 ◽  
Vol 69 (4) ◽  
Author(s):  
Cici Maarasyid ◽  
Ida Idayu Muhamad ◽  
Eko Supriyanto
Keyword(s):  
Vitamin E ◽  
Palm Oil ◽  
Process Design ◽  
Green Technology ◽  
Raw Material ◽  
Crude Palm Oil ◽  
Potential Source ◽  
Assisted Extraction ◽  
Efficiency Cost ◽  
Selection For

Vitamin E is essential in the human body which naturally found in vegetable fats and oil and their derived products. Several palm-based oils obtained from palm oil mills and refineries were revised in this paper as the raw material for vitamin E. Tocopherols and tocotrienols isomers of the vitamin E content are found nearly comparable with crude palm oil. To obtain the tocopherols and tocotrienols, various developed technologies for the extraction were also reviewed. These include the solvent-based extraction, chemical modification, adsorption, enzymatic process, molecular distillation, microwave-assisted extraction and membrane technology. Each of the technologies has the advantages as well as limitations. Therefore, process design and selection for the chosen technology are crucial in order to determine recovery of vitamin E obtained, time efficiency, cost effectiveness, safety of products and environmentally friendly impacts. A green technology approach could be further diversified and manifested for sustainable process of vitamin E.  

scholarly journals The Experimental Process Design of Artificial Lightweight Aggregates Using an Orthogonal Array Table and Analysis by Machine Learning

Materials ◽  
2020 ◽  
Vol 13 (23) ◽  
pp. 5570
Author(s):  
Young Min Wie ◽  
Ki Gang Lee ◽  
Kang Hyuck Lee ◽  
Taehoon Ko ◽  
Kang Hoon Lee
Keyword(s):  
Machine Learning ◽  
Process Design ◽  
Orthogonal Array ◽  
Predictive Performance ◽  
Machine Learning Techniques ◽  
Support Vector ◽  
Lightweight Aggregates ◽  
Learning Techniques ◽  
Experimental Process ◽  
Sintering Processes

The purpose of this study is to experimentally design the drying, calcination, and sintering processes of artificial lightweight aggregates through the orthogonal array, to expand the data using the results, and to model the manufacturing process of lightweight aggregates through machine-learning techniques. The experimental design of the process consisted of L18(3661), which means that 36 × 61 data can be obtained in 18 experiments using an orthogonal array design. After the experiment, the data were expanded to 486 instances and trained by several machine-learning techniques such as linear regression, random forest, and support vector regression (SVR). We evaluated the predictive performance of machine-learning models by comparing predicted and actual values. As a result, the SVR showed the best performance for predicting measured values. This model also worked well for predictions of untested cases.

scholarly journals REMOVAL OF OIL AND REDUCTION OF BOD FROM PALM OIL MILL EFFLUENT (POME) USING POLYURETHANE NANOFIBERS

2019 ◽  
Vol 82 (1) ◽  
Author(s):  
Zykamilia Kamin ◽  
Norhayati Asgan ◽  
Rosalam Sarbatly ◽  
Duduku Krishnaiah
Keyword(s):  
Sorption Capacity ◽  
Palm Oil ◽  
Oxygen Demand ◽  
Average Diameter ◽  
Biological Oxygen Demand ◽  
Palm Oil Mill Effluent ◽  
Hydrophobic Properties ◽  
Oil Sorption ◽  
Palm Oil Mill ◽  
Viable Method

The effluent of the palm oil mill is known as palm oil mill effluent (POME) constituting water, oil and solid. Upon discharge from the mill, POME goes into an anaerobic pond system which is not environmentally friendly. The threats, mainly come from the accumulated oil inside the pond. Therefore, this study attempt to find a solution for this problem by using polyurethane nanofiber to sorb the oil from the POME due to its oleophilic and hydrophobic properties. The nanofibers were characterized by scanning electron microscopy (SEM), oil sorption capacity, amount of extracted oil of POME and Biological Oxygen Demand (BOD) content after sorption. The result shows the nanofibers average diameter is 3.0 ´ 103 nm, about 31.40 g /g oil sorption capacity, 48 % oil extracted from the POME and the BOD content was reduced to 10 mg/l. This result shows that nanofiber sorbent is a viable method to not only protect the environment, but also has the potential for recovery the oil.

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