An empirical model of heat-treated straw bulks’ thermal conductivity based on changes in mass and chemical composition

نویسندگان

چکیده

Abstract An empirical model was developed to estimate the thermal conductivity of heat-treated straw bulks based on laboratory experiments. During measurements, two different types were investigated, barley and wheat. Barley used composing our define influencing parameters, wheat for validation. Both straws in a dry oxidative ambient five temperature steps from 60 180 °C. The measured at 120 kg m −3 bulk density after every treatment cycle. In addition, we looking most suitable measurement methods detect changes material structure related range relatively low-temperature treatments. Thermogravimetric conducted, mass loss elemental composition measurements showed that percentage ratio carbon increased, oxygen decreased investigated range. We identified separated following parameters model, which can relative stem bulks: residual mass, content content. divided into parts, creating simpler but worse approximation (the required this are much easier perform) slightly more complex better approximation. After validation, achieved good agreement with conductivities calculated by conductivities.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Nanofluid Thermal Conductivity Prediction Model Based on Artificial Neural Network

Heat transfer fluids have inherently low thermal conductivity that greatly limits the heat exchange efficiency. While the effectiveness of extending surfaces and redesigning heat exchange equipments to increase the heat transfer rate has reached a limit, many research activities have been carried out attempting to improve the thermal transport properties of the fluids by adding more thermally c...

متن کامل

Effect of (Pleurotus florida) Fungi on Chemical Composition and Rumen Degradability of Wheat and Barley Straw

This study was conducted to investigate the effect of biological treatment withPleurotus floridafungi on chemical composition and rumen dry matter (DM) and organic matter (OM) degradability of wheat and barley straw. Wheat and barley straw were collected from Golestan province of Iran and after pasteurization mixed with fungi spawn (than 5% by weight). After 21 days samples were dried in oven (...

متن کامل

Chemical Composition, Physical Characteristics, Rumen Degradability of NDF and NDF Fractionation in Rice Straw as an Effective Fibre in Ruminants

In order to determine of physical characteristics of rice straw as an effective source of fiber in ruminants, alfalfa hay, four varieties of rice straw (Taroum Neda, Taroum Neamat, Taroum Sangi, and Asgari), and four rations that contained four varieties of rice straws were investigated. The chemical (dry matter (DM), organic matter (OM), neutral detergent fiber (NDF), nonfiber carbohydrates (N...

متن کامل

An Empirical Correlation for Estimation of the Thermal Conductivity of Saturated Liquid Refrigerants

Thermodynamic data on environmental refrigerants have attracted considerable interest in the optimization and design of heat compressors, exchangers and other refrigeration equipment. In this study, An optimization algorithm was used to obtain the constant parameters of the new empirical model by fitting them to the source databank. The model was used to calculate the constant coefficients of t...

متن کامل

mortality forecasting based on lee-carter model

over the past decades a number of approaches have been applied for forecasting mortality. in 1992, a new method for long-run forecast of the level and age pattern of mortality was published by lee and carter. this method was welcomed by many authors so it was extended through a wider class of generalized, parametric and nonlinear model. this model represents one of the most influential recent d...

15 صفحه اول

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Thermal Analysis and Calorimetry

سال: 2023

ISSN: ['1388-6150', '1572-8943', '1588-2926']

DOI: https://doi.org/10.1007/s10973-023-11945-4