Journal IJCRT UGC-CARE, UGCCARE( ISSN: 2320-2882 ) | UGC Approved Journal | UGC Journal | UGC CARE Journal | UGC-CARE list, New UGC-CARE Reference List, UGC CARE Journals, International Peer Reviewed Journal and Refereed Journal, ugc approved journal, UGC CARE, UGC CARE list, UGC CARE list of Journal, UGCCARE, care journal list, UGC-CARE list, New UGC-CARE Reference List, New ugc care journal list, Research Journal, Research Journal Publication, Research Paper, Low cost research journal, Free of cost paper publication in Research Journal, High impact factor journal, Journal, Research paper journal, UGC CARE journal, UGC CARE Journals, ugc care list of journal, ugc approved list, ugc approved list of journal, Follow ugc approved journal, UGC CARE Journal, ugc approved list of journal, ugc care journal, UGC CARE list, UGC-CARE, care journal, UGC-CARE list, Journal publication, ISSN approved, Research journal, research paper, research paper publication, research journal publication, high impact factor, free publication, index journal, publish paper, publish Research paper, low cost publication, ugc approved journal, UGC CARE, ugc approved list of journal, ugc care journal, UGC CARE list, UGCCARE, care journal, UGC-CARE list, New UGC-CARE Reference List, UGC CARE Journals, ugc care list of journal, ugc care list 2020, ugc care approved journal, ugc care list 2020, new ugc approved journal in 2020, ugc care list 2021, ugc approved journal in 2021, Scopus, web of Science.
How start New Journal & software Book & Thesis Publications

INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)

International Peer Reviewed & Refereed Journals, Open Access Journal

IJCRT Peer-Reviewed (Refereed) Journal as Per New UGC Rules.

ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013

Call For Paper - Volume 14 | Issue 5 | Month- May 2026

Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 7.97 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(CrossRef DOI)

Submit Your Paper
Login to Author Home
Communication Guidelines

WhatsApp Contact
Click Here

  IJCRT Search Xplore - Search all paper by Paper Name , Author Name, and Title

Volume 12 | Issue 6 |

Volume 12 | Issue 6 | Month  
Downlaod After Publication
1) Table of content index in PDF
2) Table of content index in HTML 2)Table of content index in HTML
3) Front Page                     3) Front Page
4) Back Page                     4) Back Page
5) Editor Board Member 5)Editor Board Member
6) OLD Style Issue 6)OLD Style Issue
Chania Chania
IJCRT Journal front page IJCRT Journal Back Page

  Paper Title: FORMULATION AND EVALUATION OF HERBAL SUNSCREEN CREAM

  Author Name(s): Mr. Jain Prajwal Jitendra, Mr. Singare Pawan Vitthal, Mr. Khandebharad Pavan Shahadev, Mr. Bhumbar Pavankumar Dnyaneshwar, Miss.Smrutigandha R. Kamble (Ass. Prof. (M Pharm P.cology).

  Published Paper ID: - IJCRT2406130

  Register Paper ID - 262869

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2406130 and DOI :

  Author Country : Indian Author, India, 41122 , Badanapur, 41122 , | Research Area: Pharmacy All

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2406130
Published Paper PDF: download.php?file=IJCRT2406130
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2406130.pdf

  Your Paper Publication Details:

  Title: FORMULATION AND EVALUATION OF HERBAL SUNSCREEN CREAM

 DOI (Digital Object Identifier) :

 Pubished in Volume: 12  | Issue: 6  | Year: June 2024

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Pharmacy All

 Author type: Indian Author

 Pubished in Volume: 12

 Issue: 6

 Pages: b201-b217

 Year: June 2024

 Downloads: 342

  E-ISSN Number: 2320-2882

 Abstract

Aloe vera is a medicinal plant heavily used in the pharmaceutical industry, especially in cosmetics. The aloe plant cultivated in Indonesia to supply this industry is Aloe chinensis Baker. This research aims to determine the effects of Aloe vera gel extract on the effectiveness of sunscreen lotion. The steps included Aloe vera gel extraction, flavonoid absorption test, sun protection factor (SPF) value measurement, pH test, viscosity test, homogeneity test, and organoleptic evaluation. The extract was added to the base sunscreen formulation at five different concentrations. UV-Vis spectrophotometry at 290 - 320 nm was performed on the preparations to determine their SPF values. The highest SPF value of 10.21 was found in the 20% Aloe vera gel extract preparation. This value falls within the national industrial standard for sunscreen SPF value range of 2 - 60. The research showed that a higher Aloe vera gel extract concentration increased the pH, with the most elevated pH at 7.0 for the preparation containing 20% Aloe gel vera extract. This value also falls within the national pH standard for sunscreen of 4.5 - 8.0. The higher concentration of Aloe vera gel extract also increased the dispersive amount of the sunscreen preparation, with the highest value of 5 cm resulting from a 20% Aloe vera gel extract addition. This research showed that the increased addition of Aloe vera gel extract resulted in higher SPF value.


Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Sunscreens, Aloe Vera, Coconut Oil, Vitamin E Capsule, SPF.

  License

Creative Commons Attribution 4.0 and The Open Definition


  Paper Title: “Bhartiya Sanskruti Aur Naitik Mulya: Vartaman Paripekshay Me Ghatte Naitik Mulya V Sanskar Ek adhyan "

  Author Name(s): Sangeeta Samadhiya

  Published Paper ID: - IJCRT2406129

  Register Paper ID - 262892

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2406129 and DOI :

  Author Country : Indian Author, India, - , -, - , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2406129
Published Paper PDF: download.php?file=IJCRT2406129
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2406129.pdf

  Your Paper Publication Details:

  Title: “BHARTIYA SANSKRUTI AUR NAITIK MULYA: VARTAMAN PARIPEKSHAY ME GHATTE NAITIK MULYA V SANSKAR EK ADHYAN "

 DOI (Digital Object Identifier) :

 Pubished in Volume: 12  | Issue: 6  | Year: June 2024

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 12

 Issue: 6

 Pages: b197-b200

 Year: June 2024

 Downloads: 272

  E-ISSN Number: 2320-2882

 Abstract

“Bhartiya Sanskruti Aur Naitik Mulya: Vartaman Paripekshay Me Ghatte Naitik Mulya V Sanskar Ek adhyan "


Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

“Bhartiya Sanskruti Aur Naitik Mulya: Vartaman Paripekshay Me Ghatte Naitik Mulya V Sanskar Ek adhyan "

  License

Creative Commons Attribution 4.0 and The Open Definition


  Paper Title: Thermodynamic dependence of volume thermal expansion for some Nanomaterials

  Author Name(s): Ashwini Dixit, Bindushekhar Sharma

  Published Paper ID: - IJCRT2406128

  Register Paper ID - 263218

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2406128 and DOI :

  Author Country : Indian Author, India, 282001 , Agra, 282001 , | Research Area: Physics All

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2406128
Published Paper PDF: download.php?file=IJCRT2406128
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2406128.pdf

  Your Paper Publication Details:

  Title: THERMODYNAMIC DEPENDENCE OF VOLUME THERMAL EXPANSION FOR SOME NANOMATERIALS

 DOI (Digital Object Identifier) :

 Pubished in Volume: 12  | Issue: 6  | Year: June 2024

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Physics All

 Author type: Indian Author

 Pubished in Volume: 12

 Issue: 6

 Pages: b182-b196

 Year: June 2024

 Downloads: 227

  E-ISSN Number: 2320-2882

 Abstract

The Anderson model for investigating the temperature dependence of volume expansion of some Nanomaterials viz. Zirconia, Ag, ZnO, NiO and Al compounds have been used by Kumar et.al to obtain results in an approximately fair agreement with the available experimental data. The model used by them is based on the assumption that the Anderson-Gruneisen parameter does not depend on temperature. It is found that the volume thermal experimental data for nanomaterials under study can be reproduced satisfactorily with the help of Liu at.al, which takes into account the temperature dependence of the Anderson-Gruneisen parameter.


Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Nanomaterials, volume thermal expansion, Anderson- Gruneisen Parameter, Isobaric equation of state.

  License

Creative Commons Attribution 4.0 and The Open Definition


  Paper Title: OPTIMIZED LOCATION IDENTIFICATION FOR ELECTRIC VEHICLE CHARGING STATIONS BASED ON FUZZY C-MEANS CLUSTERING AND QGIS

  Author Name(s): Dharshni Prabha P, Dr.Jagatheesan K

  Published Paper ID: - IJCRT2406127

  Register Paper ID - 263155

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2406127 and DOI :

  Author Country : Indian Author, India, 636202 , KARKOODAL PATTI RASIPURAM, 636202 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2406127
Published Paper PDF: download.php?file=IJCRT2406127
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2406127.pdf

  Your Paper Publication Details:

  Title: OPTIMIZED LOCATION IDENTIFICATION FOR ELECTRIC VEHICLE CHARGING STATIONS BASED ON FUZZY C-MEANS CLUSTERING AND QGIS

 DOI (Digital Object Identifier) :

 Pubished in Volume: 12  | Issue: 6  | Year: June 2024

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 12

 Issue: 6

 Pages: b177-b181

 Year: June 2024

 Downloads: 299

  E-ISSN Number: 2320-2882

 Abstract

Electric vehicles (EVs) will be the next technological leap for urban mobility however the market penetration rate depends on several factors, including the major hurdle of limited EV charging stations. Equity is also an important factor - ensuring EV charging stations are widespread and available for all segments of the population. This paper outlines an innovative methodology to systematically determine the locations of EV charging stations while considering equity and efficiency to maximize accessibility and usage. The methodology has two levels. First, solving what is known as the Set Covering Location Problem (SCLP) by determining a threshold so that the distance (or travel time) between the consumer and the EV charging station will be less than or equal to a given value. This is a policy-based decision and provides a framework to ensure EV charging stations are ubiquitous and equitable. Second is solving the Maximum Covering Location Problem (MCLP) by considering a series of evaluation criteria to satisfy the demand of the early adopters. Following evaluation of the SCLP and MCLP, selected locations are aggregated by partitions to develop larger scale hubs. These hubs will not only include EV charging stations but will also function as connection points that integrate different modes of transportation. and policy supports in recent years, which leads to a larger demand of charging stations. Strategies about how to find the optimal location for charging facilities are urgently needed in order to further assist This paper describes application of GIS using Trans CAD software by combining SCLP and MCLP approaches to address both equity and efficiency.


Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords--electric vehicle, location, optimization, gis, charging stations, threshold

  License

Creative Commons Attribution 4.0 and The Open Definition


  Paper Title: Predictive Modeling of Heart Disease Risk Using Machine Learning Algorithms: A Comparative Study

  Author Name(s): Ajay Singh, Ms. Namita Srivastava

  Published Paper ID: - IJCRT2406126

  Register Paper ID - 263094

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2406126 and DOI :

  Author Country : Indian Author, India, - , -, - , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2406126
Published Paper PDF: download.php?file=IJCRT2406126
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2406126.pdf

  Your Paper Publication Details:

  Title: PREDICTIVE MODELING OF HEART DISEASE RISK USING MACHINE LEARNING ALGORITHMS: A COMPARATIVE STUDY

 DOI (Digital Object Identifier) :

 Pubished in Volume: 12  | Issue: 6  | Year: June 2024

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 12

 Issue: 6

 Pages: b170-b176

 Year: June 2024

 Downloads: 267

  E-ISSN Number: 2320-2882

 Abstract

Heart disease remains a leading cause of mortality worldwide, necessitating effective predictive models for risk assessment and early intervention. In this study, we conduct a comprehensive comparative analysis of machine learning (ML) algorithms for predictive modeling of heart disease risk. Leveraging a diverse dataset of patient demographics, clinical attributes, and medical history, we explore the performance of various machine learning techniques, including logistic regression, decision trees, random forests, support vector machines, and neural networks. We evaluate the models based on metrics such as accuracy, sensitivity, specificity, and area under the receiver operating characteristic curve (AUC-ROC) to assess their predictive capabilities. Additionally, we investigate the interpretability and computational efficiency of each algorithm to identify strengths and limitations. Our findings provide insights into the relative efficacy of different machine learning approaches for heart disease risk prediction, offering valuable guidance for healthcare practitioners and researchers in developing robust predictive models for cardiovascular risk assessment.


Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Heart disease, Machine learning (ML), medical history, decision trees, risk prediction

  License

Creative Commons Attribution 4.0 and The Open Definition


  Paper Title: Comparative study of some generic and branded formulations

  Author Name(s): Sushant Datta Dhumale

  Published Paper ID: - IJCRT2406125

  Register Paper ID - 263067

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2406125 and DOI :

  Author Country : Indian Author, India, 416107 , Dattawad, 416107 , | Research Area: Pharmacy All

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2406125
Published Paper PDF: download.php?file=IJCRT2406125
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2406125.pdf

  Your Paper Publication Details:

  Title: COMPARATIVE STUDY OF SOME GENERIC AND BRANDED FORMULATIONS

 DOI (Digital Object Identifier) :

 Pubished in Volume: 12  | Issue: 6  | Year: June 2024

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Pharmacy All

 Author type: Indian Author

 Pubished in Volume: 12

 Issue: 6

 Pages: b161-b169

 Year: June 2024

 Downloads: 333

  E-ISSN Number: 2320-2882

 Abstract

Both Aceclofenac and Paracetamol are non-steroidal anti-inflammatory drugs. The primary goal is to evaluate four distinct brands of Aceclofenac and Paracetamol tablets that are sold in Indian public pharmacies. Although generic medications share the same active components, variations in formulation methods and excipients have been shown to affect their quality and effectiveness. According to research, cyclooxygenase (COX) is inhibited by Aceclofenac and Paracetamol, which results in a decrease in pain perception or the transmission of neuropathic pain. A few testing techniques (drug assay, disintegration, weight variation, and friability tests) are employed for quality control.


Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Aceclofenac, Paracetamol, tablet, Dissolution, Disintegration, Branded, and Generic.

  License

Creative Commons Attribution 4.0 and The Open Definition


  Paper Title: A Review of Fake News Analysis Using Machine Learning

  Author Name(s): Santosh Kumar Yadav, Mr. Dileep Kumar Gupta

  Published Paper ID: - IJCRT2406124

  Register Paper ID - 263091

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2406124 and DOI :

  Author Country : Indian Author, India, - , -, - , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2406124
Published Paper PDF: download.php?file=IJCRT2406124
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2406124.pdf

  Your Paper Publication Details:

  Title: A REVIEW OF FAKE NEWS ANALYSIS USING MACHINE LEARNING

 DOI (Digital Object Identifier) :

 Pubished in Volume: 12  | Issue: 6  | Year: June 2024

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 12

 Issue: 6

 Pages: b155-b160

 Year: June 2024

 Downloads: 254

  E-ISSN Number: 2320-2882

 Abstract

Recently, there have been many exploration endeavors meaning to comprehend counterfeit news wonders and to recognize regular examples and highlights of fake news. However, the genuine separating force of these highlights is as yet unclear: some are more broad, yet others perform well just with explicit information. In this survey work, we direct an exceptionally exploratory examination that created countless models from a huge and various arrangement of highlights. These models are unprejudiced as in their highlights are arbitrarily browsed the pool of accessible highlights. While by far most of models are incapable, we had the option to create various models that yield profoundly exact choices, in this manner successfully isolating fake news from genuine stories. In particular, we zeroed in our examination on models that position a haphazardly picked counterfeit report higher than an arbitrarily picked truth with more than 0.85 likelihood. For these models we tracked down a solid connection among highlights and model expectations, showing that a few highlights are plainly custom fitted for identifying particular sorts of fake news, accordingly confirming that various mixes of highlights cover a particular locale of the fake news space. At last, we present a clarification of variables adding to show choices, along these lines advancing community thinking by supplementing our capacity to assess computerized content and arrive at justified resolutions.


Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

genuine, Fake News, models, highlights.

  License

Creative Commons Attribution 4.0 and The Open Definition


  Paper Title: SignSpeak: American Sign Language to Text and Speech Convertor using Machine Learning

  Author Name(s): Aishwarya Dinesh Warulkar, P N Deshmukh

  Published Paper ID: - IJCRT2406123

  Register Paper ID - 263227

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2406123 and DOI :

  Author Country : Indian Author, India, 422222 , NASHIK, 422222 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2406123
Published Paper PDF: download.php?file=IJCRT2406123
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2406123.pdf

  Your Paper Publication Details:

  Title: SIGNSPEAK: AMERICAN SIGN LANGUAGE TO TEXT AND SPEECH CONVERTOR USING MACHINE LEARNING

 DOI (Digital Object Identifier) :

 Pubished in Volume: 12  | Issue: 6  | Year: June 2024

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 12

 Issue: 6

 Pages: b145-b154

 Year: June 2024

 Downloads: 298

  E-ISSN Number: 2320-2882

 Abstract

Sign language is one of the oldest and most natural form of language for communication, hence we have come up with a real time method using neural networks for finger spelling based American sign language. Automatic human gesture recognition from camera images is an interesting topic for developing vision. We propose a convolution neural network (CNN) method to recognize hand gestures of human actions from an image captured by camera. The purpose is to recognize hand gestures of human task activities from a camera image. The position of hand and orientation are applied to obtain the training and testing data for the CNN. The hand is first passed through a filter and after the filter is applied where the hand is passed through a classifier which predicts the class of the hand gestures. Then the calibrated images are used to train CNN.


Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

American Sign Language, Hand Gesture Recognition, Machine learning, Deep Learning, Hand detection, Convolutional Neural Network (CNN), Computer Vision.

  License

Creative Commons Attribution 4.0 and The Open Definition


  Paper Title: ANTIMICROBIAL ACTIVITY, SHELF LIFE AND STANDARDIZATION OF RECIPES WITH RAW, PROCESSED MORINGA OLEIFERA SEEDS

  Author Name(s): Shyama Reji

  Published Paper ID: - IJCRT2406122

  Register Paper ID - 262933

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2406122 and DOI : http://doi.one/10.1729/Journal.39808

  Author Country : Indian Author, India, 600037 , Chennai, 600037 , | Research Area: Life Sciences All

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2406122
Published Paper PDF: download.php?file=IJCRT2406122
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2406122.pdf

  Your Paper Publication Details:

  Title: ANTIMICROBIAL ACTIVITY, SHELF LIFE AND STANDARDIZATION OF RECIPES WITH RAW, PROCESSED MORINGA OLEIFERA SEEDS

 DOI (Digital Object Identifier) : http://doi.one/10.1729/Journal.39808

 Pubished in Volume: 12  | Issue: 6  | Year: June 2024

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Life Sciences All

 Author type: Indian Author

 Pubished in Volume: 12

 Issue: 6

 Pages: b138-b144

 Year: June 2024

 Downloads: 321

  E-ISSN Number: 2320-2882

 Abstract

Moringa Oleifera commonly called drumstick seeds is usually used as a vegetable as well as for medicinal purposes. M. oleifera is found to have numerous benefits and the present study was carried out to determine the antimicrobial potential and shelf life of raw (RMO), germinated (GMO) and fermented (FMO) M. oleifera seeds. The study also discusses the benefits and methods of incorporating the samples into food products. The results were found to be positive thus concluding that Moringa vinifera seeds when processed exhibit high antimicrobial value. Processed seeds have an expected shelf life and are accepted when incorporated into food items. With its high nutritive values is suitable for either nutritional or medicinal purposes. Studies have also proved that fortifying staple foods with processed moringa seeds could enhance the flavour and texture; moreover, the nutrition quality is increased. Thus, incorporating the foods with moringa seed powder can prevent malnutrition.


Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Moringa oleifera, Germinated, Fermented, Sensory Evaluation, antimicrobial, Shelf life

  License

Creative Commons Attribution 4.0 and The Open Definition


  Paper Title: COMPARATIVE STUDY OF HOT ROLLED AND COLD FORMED STEEL TRUSS

  Author Name(s): AHMED MOHD MUSTAFA

  Published Paper ID: - IJCRT2406121

  Register Paper ID - 263163

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2406121 and DOI :

  Author Country : Indian Author, India, 400706 , NAVI MUMBAI, 400706 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2406121
Published Paper PDF: download.php?file=IJCRT2406121
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2406121.pdf

  Your Paper Publication Details:

  Title: COMPARATIVE STUDY OF HOT ROLLED AND COLD FORMED STEEL TRUSS

 DOI (Digital Object Identifier) :

 Pubished in Volume: 12  | Issue: 6  | Year: June 2024

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 12

 Issue: 6

 Pages: b114-b137

 Year: June 2024

 Downloads: 375

  E-ISSN Number: 2320-2882

 Abstract

This study conducts a comparative design analysis of hot rolled and cold formed steel trusses, focusing solely on structural performance considerations. Understanding the design nuances between these two truss types is crucial for optimizing structural efficiency and reliability in construction projects. The study begins by delineating the distinct design methodologies applicable to hot rolled and cold formed steel trusses, highlighting key differences in material properties, manufacturing processes, and structural behavior. Through analytical modeling and computational simulations, the structural performance of truss systems is rigorously evaluated under various loading scenarios. Critical design parameters such as member sizes, span lengths, and overall geometry are scrutinized to ascertain their impact on structural strength, stiffness, and stability. By examining these factors comprehensively, the study aims to identify optimal design configurations for hot rolled and cold formed steel trusses, thereby enhancing their structural efficiency and effectiveness. The findings of this research provide valuable insights into the design considerations inherent to hot rolled and cold formed steel trusses, enabling engineers and designers to make informed decisions regarding the selection and optimization of truss systems in construction projects. By focusing solely on structural performance, this study contributes to the advancement of efficient and reliable structural designs utilizing steel trusses. The sections are selected based on the moment capacity and effective span of the sections by software STAAD.Pro. The analytical results are compared according to Indian and European Standards.


Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

truss, cold formed, hot rolled, IS800, EN1993-1-1:2005, IS801

  License

Creative Commons Attribution 4.0 and The Open Definition



Call For Paper May 2026
Indexing Partner
ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
ISSN
ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
ISSN
DOI Details

Providing A digital object identifier by DOI.org How to get DOI?
For Reviewer /Referral (RMS) Earn 500 per paper
Our Social Link
Open Access
This material is Open Knowledge
This material is Open Data
This material is Open Content
Indexing Partner

Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 7.97 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer