Simarouba Biodiesel Blends as an Alternative Fuel for Compression Ignition Engine and Its Optimization Using Multiple Regression Analysis on CI Engine Performance (BTE) and Emissions (CO2, HC) Characteristics

2017 ◽  
Author(s):  
Almuddin Rustum Sayyad ◽  
Pratik Salunke ◽  
Sangram Jadhav
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Engine Performance ◽  
Alternative Fuel ◽  
Compression Ignition ◽  
Compression Ignition Engine ◽  
Biodiesel Blends ◽  
Ci Engine

Analysis of Engine Performance and Combustion Characteristics of Diesel and Biodiesel blends in a Compression Ignition Engine

2016 ◽  
Author(s):  
Henrique Dornelles ◽  
Jácson Antolini ◽  
Rafael Sari ◽  
Macklini Dalla Nora ◽  
Paulo Romeu Machado ◽  
...  
Keyword(s):  
Engine Performance ◽  
Combustion Characteristics ◽  
Compression Ignition ◽  
Compression Ignition Engine ◽  
Biodiesel Blends

scholarly journals Experimental Investigation on the Performance of a CI Engine Fueled with Waste Cooking Oil Biodiesel Blends

2021 ◽  
Vol 2 (1) ◽  
pp. 25-31
Author(s):  
Lochan Kendra Devkota ◽  
Surya Prasad Adhikari
Keyword(s):  
Diesel Fuel ◽  
Chemical Properties ◽  
Waste Cooking Oil ◽  
Compression Ignition ◽  
Performance Parameters ◽  
Compression Ignition Engine ◽  
Biodiesel Blends ◽  
Cooking Oil ◽  
Brake Mean Effective Pressure ◽  
Ci Engine

In this study, different performance parameters of a Compression Ignition (CI) engine fueled with waste cooking oil biodiesel blends with diesel in different percentage volumes of 5 % biodiesel and 95 % diesel (W5), 10 % biodiesel and 90 % diesel (W10), 15 % biodiesel and 85 % diesel (W15) and 20 % biodiesel and 80 % diesel (W20) were tested experimentally. First, biodiesel was produced from waste cooking oil by transesterification process. The physical-chemical properties of biodiesel and W20 were tested. The tested properties of W20 were found to American Society for Testing and Materials (ASTM) standards near to diesel fuel. Subsequently, test of diesel and biodiesel blended fuels were carried out using 15:1 compression ratio on Kirloskar Single Cylinder Compression Ignition Engine at 1500 rpm on varying loads. The engine performance parameters for biodiesel blends such as Indicated Power (IP), Brake Power (BP), Brake Mean Effective Pressure (BMEP), Brake Thermal Efficiency (BTE), Specific Fuel Consumption (SFC) and Mechanical Efficiency (ME) against load in comparison to diesel fuel were obtained and verified those with diesel fuel. IP for diesel, W5, W10, W15 and W20 at load of 12 kg are 4.3 kW, 4.8 kW, 4.7 kW, 4.75 kW and 4.2 kW respectively. ME of W20 at 12 kg load is less by 4.1 % than diesel. The difference in SFC of diesel and W20 at 12 kg load was 0.27 kg/kWh. The experimental outcomes confirm that the IP and SFC of blended biodiesel were slightly superior. Correspondingly, BP and BMEP were also found comparable to diesel fuel.

scholarly journals Engine Performance and Emission Characteristics of a Direct Injection Diesel Engine Fuelled with 1- Hexanol as a Fuel Additive in Mahua Seed Oil Biodiesel Blends

2017 ◽  
Vol 13 (2) ◽  
Keyword(s):  
Seed Oil ◽  
Methyl Esters ◽  
Engine Performance ◽  
Alternative Fuel ◽  
Fuel Additive ◽  
Emission Characteristics ◽  
Compression Ignition ◽  
Compression Ignition Engine ◽  
Performance And Emission ◽  
Performance And Emissions

The increasing industrialization and motorization of the world has led to a steep rise for the demand of petroleum products. Petroleum based fuels are obtained from limited reserves. In the wake of this situation, there is an urgent need to promote use of alternative fuel which must be technically feasible, economically competitive, environmentally acceptable and readily available. In the present study, Mahua seed oil methyl esters (MSOME) were prepared through transesterification and evaluation of important physico-chemical properties was carried and the properties were found within acceptable limits. A compression ignition engine was fuelled with three blends of MSOME with diesel (10, 20 and 30% on volume basis) and various performance and emission characteristics were evaluated and results compared with baseline data of diesel. The results suggest the BTE was higher for MSOME blends and BSFC, HC and smoke opacity were lower as compared to diesel fuel. This may be attributed to improved combustion for MSOME are oxygenated fuels and have higher cetane number. The values of NOx were found almost nearer for all blends as compared to diesel. Addition of 1-hexanol (Ignition improver) 0.5%, 1% volume ratios to the optimum blend (MSOME30) for evaluating the engine performance and emissions parameters and the main purpose of ignition improver is to improve combustion process and reduction in engine emissions. Finally results shows that performance and emissions have been to justify the potentiality of the mahua seed oil methyl esters as alternative fuel for compression ignition engines without any modifications

Pengaruh Citra Merek, Kualitas Produk Dan Harga Terhadap Kepuasan Konsumen Pada Bisnis Franchise Minuman

2017 ◽  
Vol 24 (2) ◽  
pp. 144-153
Author(s):  
Yunita Fitri Wahyuningtyas
Keyword(s):  
Regression Analysis ◽  
Marketing Strategy ◽  
Product Quality ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Sampling Method ◽  
Sampling Technique ◽  
Sampling Process ◽  
And Function ◽  
Simultaneous Influence

This research is conducted upon the emergence of many companies producing the same product of the same kind and function. It leads to the urgency of proper and well planned marketing strategy. This research aims to investigate how far the influence of branding, product quality, and price toward consumer’s satisfaction in beverage franchise business. This research utilizes 5 likert scale questionnaire which is tested by using multiple regression analysis to reveal whether or not there is partial and simultaneous influence of branding, product quality, and price toward consumer’s satisfaction in beverage franchise business. Sampling method is accidental sampling technique, in which sample of particular population is taken based on the accessibility and availability of the sample during the sampling process. Sample used is 100 samples among consumers or customers of Mang Endy Milkshake. The result shows that branding, product quality, and price influence consumer’s satisfaction in beverage franchise business.

Significance of Experience, Farm Size, Quantity of Propagules and Location f or Seaweed Farmers in the Divided Island of Sebatik

2018 ◽  
Vol 9 (9) ◽  
pp. 825-832
Author(s):  
James M. Alin ◽  
◽  
Datu Razali Datu Eranza ◽  
Arsiah Bahron ◽  
◽  
...  
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Production Function ◽  
Weather Conditions ◽  
Education Level ◽  
Farm Size ◽  
Total Production ◽  
Explanatory Factors ◽  
Douglas Production Function

Seaweed-Kappaphycus-Euchema Cottonii and Denticulum species was first cultivated at Sabah side of Sebatik in 2009. By November 2014, sixty one Sabahan seaweed farmers cultivated 122 ha or 3,050 long lines. Thirty Sabahan seaweed farmers in Kampung Pendekar (3.2 m.t dried) and 31 in Burst Point (12.5 m.t dried) produced 16 metric tonnes of dried seaweed contributed 31% to Tawau’s total production (51 m.t). The remaining 69% were from farmers in Cowie Bay that separates Sebatik from municipality of Tawau. Indonesian in Desa Setabu, Sebatik started in 2008. However, the number of Indonesian seaweed farmers, their cultivated areas and production (as well as quality) in Sebatik increased many times higher and faster than the Sabah side of Sebatik. In 2009 more than 1,401 households in Kabupaten Nunukan (including Sebatik) cultivated over 700 ha and have produced 55,098.95 and 116, 73 m.t dried seaweed in 2010 and 2011 respectively. There is a divergence in productions from farming the sea off the same island under similar weather conditions. Which of the eight explanatory factors were affecting production of seaweeds in Sebatik? Using Cobb Douglas production function, Multiple Regression analysis was conducted on 100 samples (50 Sabahan and 50 Indonesian). Results; Variable significant at α = 0.05% are Experience in farming whereas Farm size; Quantity of propagules and Location — Dummy are the variables significant at α 0.01%. Not significant are variables Fuel; Age; Number of family members involved in farming and Education level.

Adiksi Internet pada Remaja

2019 ◽  
Vol 7 (1) ◽  
pp. 72-78
Author(s):  
Ismalia Prambayu ◽  
Mulia Sari Dewi
Keyword(s):  
Regression Analysis ◽  
Social Skills ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Parenting Style ◽  
Internet Addiction ◽  
Psychological Factors ◽  
Social Skill ◽  
Analysis Method ◽  
Loneliness Scale

AbstractInternet addiction has become a worrying phenomenon for Indonesian teenagers. This research was conducted to determine whether the psychological factors will influence internet addiction in adolescents. This research uses quantitative with multiple regression analysis method. The winning sample is 200 adolescents. The instrument collects data using a scale internet addiction scale that compiled by Griffiths (2005) and developed by Lemmens (2009), Parenting Authority Questionnaire (PAQ) developed by Buri (1991), Social Skill Inventory (SSI) developed by Riggio (1986), and A Rasch-Type Loneliness Scale compiled by De Jong Gierveld (2006).  The results showed that there were significant differences in the parenting style, social skills, and loneliness on the tendency of internet addiction in adolescents.AbstrakAdiksi Internet menjadi salah satu fenomena yang mengkhawatirkan untuk remaja Indonesia. Penelitian ini dilakukan untuk mengetahui faktor psikologis apakah yang memberikan pengaruh terhadap kecenderungan adiksi internet pada remaja. Sampel pada penelitian ini berjumlah 200 remaja dengan menggunakan metode analisis kuantitatif. Penelitian ini menggunakan alat ukur sebagai berikut, alat ukur adiksi internet yang dikembangkan oleh Lemmens (2009), Parenting Authority Questionnaire (PAQ) yang dikembangkan oleh Buri (1991), Social Skill Inventory (SSI) yang dikembangkan oleh Riggio (1986), dan A Rasch-Type Loneliness Scale yang disusun oleh De Jong Gierveld (2006). Berdasarkan hasil pengujian ditemukan pengaruh signifikan gaya pengasuhan, keterampilan sosial, dan kesepian terhadap kecenderungan adiksi internet pada remaja.

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