i-manager's Journal on Future Engineering and Technology (JFET)


Volume 14 Issue 1 August - October 2018

Article

The Evolution of 3D printing and Industry 4.0

Gisli Thorsteinsson* , Tom page**
* Professor, Department of Design and Craft Education, University of Iceland, Iceland.
** Associate Professor, Department of Product Design, Nottingham Trent University, England.

Thorsteinsson, G. and Page, T. (2018). The Evolution of 3D printing and Industry 4.0.i-manager’s Journal on Future Engineering and Technology,14(1), 1-15.

https://doi.org/10.26634/jfet.14.1.14600

Abstract

3D printing is increasingly gaining public interest. As its popularity rises, more stories are released in support of the technology with many predicting that it will revolutionise the way people work and live. However, there is an argument that its future may be over exaggerated. The purpose of this paper is to assess a hypothetical future dominated by 3D printing. To achieve this, various areas are considered. Firstly, the implications of Industry 4.0 are discussed, this being integral to the rise of 3D printing. It is hoped that, through understanding Industry 4.0, more accurate predictions can be made on 3D printing's future. In this essay 3D printing is examined through assessing the limitations and applications that the technology currently possesses, as well as, the future applications many predict. This, combined with detailed interviews with various members of the design community, helps to highlight any weaknesses in the technology giving a more accurate portrayal of the true future of 3D printing.

Research Paper

Performance Analysis of Humidification-Dehumidification Desalination Processes

Giuma M. Fellah*
*Professor, Department of Mechanical and Industrial Engineering, Faculty of Engineering, University of Tripoli, Libya.
Fellah, G. (2018). Performance analysis of humidification-dehumidification desalination processes.i-manager’s Journal on Future Engineering and Technology,14(1), 16-25. https://doi.org/10.26634/jfet.14.1.14596

Abstract

The processes of humidification and dehumidification (HD) are based on the fact that air can be mixed with quantities of vapor. When airflow is in contact with salt water, air extracts a certain quantity of vapor. On the other hand, the distilled water is recovered by maintaining the humid air in contact with cooling surfaces. A wide range of thermal energy including solar, geothermal, exhaust gases, and fossil fuel may be used to operate HD desalination systems. These systems are suitable for arid areas, and when the demand for fresh water is decentralized. In the present work, the influence of the feed salinity and air flow rate on the thermodynamic performance is analyzed. It is found that both the performance ratio and the productivity decreases with the increase in the salinity of the feed water. A parametric study is performed to find the effect of the air flow rate on the productivity and the performance ratio of the system. It is found that both the productivity and the performance ratio decreases with the increase in the air flow rate.

Research Paper

Design of Optimum Number of Rain Gauge Network Over Sabarmati River Basin

Anant D. Patel*
*Assistant Professor, Department of Civil Engineering, Institute of Technology, Nirma University, Ahmedabad, Gujarat, India.
Patel, A. D. (2018). Design of Optimum Number of Rain Gauge Network Over Sabarmati River Basin.i-manager’s Journal on Future Engineering and Technology,14(1), 26-31. https://doi.org/10.26634/jfet.14.1.14207

Abstract

Rainfall is the most important and an essential natural source of water, which is utilized for different purposes.Hydrological analysis and modelling becomes very popular in the field of water resources management. Rain gauge is a common instrument that is used to measure the amount of rainfall and it also provides the rainfall distribution pattern.These data prove to be very useful and can be used for different purposes, such as design of hydraulic structures, flood control, irrigation canal design, etc. Thus, rainfall data are prime input parameter and it is most critical for a river basin to have an optimum number of rain gauges in catchment area of the river. This paper has basically analyzed whether the Sabarmati River basin has an optimum number of rain gauges or not. If not then design of optimum number of rain gauge is an important task in the river basin. Thus, according to IS:4987-1994, Optimum number of rain gauges in Sabarmati river basin is 37, while existing rain gauges are 31. So, Additional 6 rain gauges are required in basin and their location is also proposed in this paper based on Thiessen polygon method, which is used for equal areal rainfall distribution in the basin.

Research Paper

Clustering Technique to Threshold Vegetation Indices and Gap Detection in Hazaribagh Wildlife Sanctuary, Jharkhand (India)

Saurabh Kumar Gupta* , A. C. Pandey**
* PhD Scholar, Center for Land Resource Management, Central University of Jharkhand, India.
** Professor, Center for Land Resource Management, Central University of Jharkhand, India.
Gupta, S. K. and Pandey, A. C.(2018). Clustering Technique to Threshold Vegetation Indices and Gap Detection In Hazaribagh Wildlife Sanctuary, Jharkhand (India).i-manager’s Journal on Future Engineering and Technology,14(1), 32-41. https://doi.org/10.26634/jfet.14.1.15257

Abstract

The K means clustering was processed for threshold vegetation indices and gap detection. It was processed for retrieving the vegetation index value that represents forest land cover, percentage vegetation coverage, and canopy density. The method was further used for finding the probability distribution of forest canopy gaps in the forest. The result was tested in the Hazaribagh Wildlife Sanctuary, Jharkhand, India. The percentage vegetation cover was calculated in the new SNAP software. The canopy density was mapped through FCD model. From the analysis, it was estimated that the dense forest having greater than 70% of canopy density comprises 64-100% of vegetation cover; moderately dense forest having 40-70% canopy density includes 21-64% of vegetation cover, and open forest having less than 40% canopy density have 7-21% of vegetation cover. The Normalized Vegetation Index (NDVI) and Transformed Vegetation Index (TVI) considered being more efficient and Difference Vegetation Index (DVI) was less efficient for forest vegetation cover and density measurement. Inversely, it was observed that DVI was more efficient in finding gaps in the forest. The method was also functional for finding the probability distribution of canopy gaps in the forest. This clustering technique can be applied in other means for forest landscape level assessment.

Research Paper

Studies on Continuous Adsorption of Acetic Acid from Aqueous Solution Using Rice Husk Adsorbent

Dr. S.V.A.R. Sastry* , Anusha Sri Adibatla**, S. Varun***
* Associate Professor, Department of Chemical Engineering, MVGR College of Engineering (A), Vizianagaram, Andhra Pradesh, India.
**-*** UG Scholar, Department of Chemical Engineering, MVGR College of Engineering (A), Vizianagaram, Andhra Pradesh, India.
Sastry, S. V. A. R., Adibatla, A. S., and Varun, S. (2018). Studies on Continuous Adsorption of Acetic Acid from Aqueous Solution Using Rice Husk Adsorbent. i-manager’s Journal on Future Engineering and Technology, 14(1), 42-47. https://doi.org/10.26634/jfet.14.1.14692

Abstract

Acetic acid is widely used as an industrial chemical due to its very good solvency and miscibility. It is also used as a reagent in the production of many industrial chemicals. The major use of acetic acid is in the manufacture of vinyl acetate monomer, narrowly followed by acetic anhydride and ester. The total worldwide production of acetic acid is expected to reach 15.5 Mt/a (million tons per year) by 2020. Waste Acetic acid with pH of 5 or lower is termed as a dangerous waste. There are many methods used for removal of acetic acid from aqueous solutions; however these are also energy and cost intensive. Adsorption is one of the alternate methods which can be used for the removal of acetic acid. Considering the economics, there is increasing research interest in using alternate low cost adsorbents. In this work, adsorption of acetic acid from aqueous solutions by using Rice husk has been explored. The adsorption of Acetic acid in continuous mode has been studied with two variables (adsorbent dosage, adsorbate dosage), keeping one constant at a time. Breakthrough curves were obtained. The results showed that the proposed adsorbent is very useful for removing Acetic acid from industrial wastewater.

Research Paper

Remote Sensing and GIS Based Groundwater Prospects and Quality Assessment in Fatehabad District, Haryana

Surender Kumar*
*Faculty, Department of Geography, DNPG College, Hisar, Haryana, India.
Kumar, S. (2018). Remote Sensing and Gis Based Groundwater Prospects and Quality Assessment in Fatehabad District, Haryana.i-manager’s Journal on Future Engineering and Technology,14(1), 48-54. https://doi.org/10.26634/jfet.14.1.15255

Abstract

In modern period of urbanization, industrialization, agriculture, and increasing population have great affect on quantity and quality of groundwater. Haryana is an agriculture dominated state so water is a major requirement for irrigation. Fatehabad district is also an agriculture dominated district, which lies between 28o48'15” to 29o17'10” N and 76o28'40” to 77o12'45” E covering an area of 2538 km2. In this present study, remote sensing satellite IRS-P6-LISS-III 2006 has been used to assess the groundwater prospects and quality by preparing various thematic layers in Arc Map Arc Info 9.3 GIS software. Field visits have been done to collect GPS points to verify delineated unit and inventory data. Post field correction has been made in prospects and quality map. In the district, Older Alluvial Plain, Aeolian plain, Sand Dune, Sand Dune Complex, Palaeochannel, and Older Flood Plain have been demarcated. Older Alluvial covers the largest area of 1498.94 sq. km2 (59.09%) having good to very good groundwater prospects, which is 59.09% of total area. After that Aeolian plain covers 411.8 km2 (16.22%) having moderate to good, sand dune and dune complex covers 30.86 km2 (1.21) and 70.04 km2(2.77%), respectively having poor groundwater prospects. Older flood plain covers 368.84 km2(14.53%) having good to very good groundwater prospects. Palaeochannel covers 86.68 km2(3.41%) having very good to excellent groundwater prospects. For ground water quality, data has been collected from Groundwater Cell, Hisar. The major constituents, such as TDS, Cl, Ca+Mg, EC (μmho/cm), pH, and TH are used to assess the groundwater quality from pre monsoon and post monsoon data. Based on Indian Drinking Water Standards (BIS Guideline–IS: 10500:1991), ground water quality has been categorized into desirable and permissible limit and non-potable limit. In the integrated groundwater quality map, only two categories have same permissible and non potable limit. Permissible limit covers an area of 1703.67 sq.km (67.13%) and non-potable area covers an area of 834.33 sq.km (32.87%). The study presented is highly useful for giving a glance view of prospects and quality in the district which will be helpful in further development and management.

Review Paper

Water Balance Assessment Using Geospatial Techniques: A Review

Abanish Kumar* , Shruti Kanga**, Sudhanshu***
* Research Scholar, Geoinformatics at Suresh Gyan Vihar University, Jaipur, India.
** Assistant Professor and Coordinator, Centre for Climate Change & Water Research, Suresh Gyan Vihar University, Jaipur, India.
*** Chief Mentor & Professor, Suresh Gyan Vihar University, Jaipur, India.
Kumar, A.,Kanga, S. and Sudhanshu. (2018). Water Balance Assessment Using Geospatial Techniques: A Review. i-manager’s Journal on Future Engineering and Technology, 14(1), 55-63. https://doi.org/10.26634/jfet.14.1.15254

Abstract

Water balance analysis for estimation of the supply/demand scenario utilizes geospatial approach that plays a very important role in worldwide research. Water balance is based on the law of conservation of mass, which states that any change in the water content of a given soil volume during a specified period must be equal to the difference between the amount of water added to the soil volume and the amount of water withdrawn from it. It helps to quantify the relationships between precipitation, surface and groundwater runoff, evaporation, evapotranspiration and aquifer drafts, and provide a framework for future planning of sustainable exploitation of the available water resources. This paper has discussed about the review of literatures in the field of water balance assessment. The water balance assessment of any area, an agricultural land, watershed, or a continent can be estimated by calculating the input, output, and storage changes of water components at the Earth's surface. From the review of research papers it is evident that a lot of research has been carried out and lot of models, such as SWAT, TM, GRACE, MIKE SHE, etc., have been developed for the evaluation of water balance assessment. Their analysis could be used for the study area to assess the water balance analysis for estimation of the supply/demand scenario, viz. evaporation, evapotransipiration, surface runoff, crop water requirement, inflow, outflow, and change in water storage as it requires exploring water balance components to overcome overexploitation or water scarcity in the study area.

Case Study

Multi-Criteria Analysis for Flood Risk Assessment Using Remote Sensing & GIS Technique-A Case Study of Damodar River Basin

Surajit Bera* , Mobin Ahmad **, Alisha Prasad ***
*-** Natural Resource Modelling and Environment Management, CSIR- Central Institute of Mining & Fuel Research, Dhanbad, Jharkhand, India.
*** Center for Land Resource Management, Central University of Jharkhand, Ranchi, Jharkhand, India.
Bera, S., Ahmad, M. and Prasad, A.(2018). Multi-Criteria Analysis for Flood Risk Assessment Using Remote Sensing & Gis Technique-A Case Study of Damodar River Basin.i-manager’s Journal on Future Engineering and Technology, 14(1), 55-74. https://doi.org/10.26634/jfet.14.1.15256

Abstract

Flood is a natural hazard occurring on the Earth's surface when water overflows the bank and spreads over the flood plain causing harm to the residents, crops, and vegetation. GIS, Remote Sensing, and Modelling technology are used in formulating models for flood hazard monitoring, risk analysis, and identification of flood risk zones for the planning and management of this natural hazard. The flood risk assessment of Damodar River Basin lying in districts of Jharkhand, Bihar and West Bengal in India, was prepared using multi-criteria analysis involving the weighted overlay of LU/LC, drainage density, soil, rainfall, slope, and geological parameters. The total area of 23,370.98 sq.km is divided into four flood risk zones, namely no flood risk, low flood risk, moderate flood risk, and high flood risk zone. According to the final output flood risk map no risk zone covers 6,472.19 sq.km (27.69%), low risk zone covers 3,341.02 sq.km (14.30%), moderate risk zone covers 12,647.48 sq.km (54.12%), and high risk zone covers 910.29 sq.km (3.89%) of area. According to the evaluated statistics 40% of the total area of Bihar in the study area comes under no risk zone. A major area of low flood risk zone is present in Jharkhand, which is 15.80% of the total area of Jharkhand in the study area, whereas in Bihar it comprises 6.23% of its total area in the study area and in West Bengal it covers 11.02% of its total area in the study area. In West Bengal, 68.63% and 20.35% of the total area of West Bengal in the study area comes under moderate flood risk and high flood risk zone, respectively.