Industry Mix Research Articles

Potential Fatty Acid Composition of Hermetia illucens Oil Reared on Different Substrates

Hermetia illucens larvae (HiL) has been studied because of its capability to break down organic waste. HiL can convert waste biomass efficiently, that can be used as future feedstuffs. This study aimed to evaluate the fatty acids composition from HiL oil (HiLO) which reared on the different substrates. The experimental was compared of (1) HiL reared on palm kernel meal and (2) HiL reared on 80% industrial waste mix with 20% organic waste. The chemical composition of HiL measured base on the Association of Official Analytical Chemists (AOAC). The Hermetia illucens larvae oil (HiLO) was extracted according to the modification of the Soxhlet extraction procedure. Fatty acid compositions were analyzed using gas chromatography (GC). The data collected and analyzed as descriptive. The results of this study ether extract content of HiL (1) 51.46% higher than HiL (2), this is due to substrate types. Fatty acids of both are almost the same and the most dominant are lauric acid 40.54% and 46.72%, oleic acid 17.48% and 15.98%, palmitic acid 14.55% and 12.12% and myristic acid 15.57 and 11.13 %, respectively for each HiLO (1) and (2). The conclusion of this study is the HiL reared on different substrates affect lipid content but the fatty acid composition is similar.

Characteristics of swirling and precessing flows generated by multiple confined jets

An experimental study is reported of the interaction between multiple isothermal jets within a cylindrical chamber under conditions relevant to a wide range of engineering applications, including the confined swirl combustors, industrial mixers, and concentrated solar thermal devices. The particle image velocimetry technique was used to investigate the swirling and precessing flows generated with four rotationally symmetric inlet pipes at a fixed nozzle Reynolds number of ReD = 10 500 for two configurations of swirl angle (5° and 15°) and two alternative tilt angles (25° and 45°). The measurements reveal three distinctive rotational flow patterns within the external recirculation zone (ERZ) and the central recirculation zone (CRZ) for these configurations. It was found that the mean and root-mean-square flow characteristics of the swirl within the chamber depend strongly on the relative significance of the ERZ and CRZ, with the swirling velocity being higher in the CRZ than that in the ERZ. A precessing vortex core was identified for all experimental conditions considered here, although its significance was less for the cases with a dominant CRZ.

Plant Fiber Processing Using the Controlled Deformation Dynamic Mixer

AbstractThe reduced energy consumption required by the controlled deformation dynamic mixer (CDDM) to process plant fibers is highlighted. Trials have been performed using current industrial mixers, and the products created were compared to those produced using the CDDM technology. Increasing pressure leads to a product of higher viscosity, which is more desirable as the fibers have greater structure development and take up more water. This is also observed with the comparison to current mixing technologies, but the energy consumption and pressure required to obtain products of equal viscosities is less when using CDDM technology.

A new application of radioactive particle tracking using MCNPX code and artificial neural network

Stirrers and mixers are highly used in chemical, food, pharmaceutical, cosmetic, concrete industries and others. During the fabrication process, the equipment may fail to appropriately stir or mix the solution. Besides that, it is also important to determine when the right homogeneity of the mixture is attained. Thus, it is very important to have a diagnosis tool for these industrial units to assure the quality of the product and maintain market competitiveness. Nuclear techniques, such as gamma densitometry, are widely used in industry to overcome a sort of difficulties, as they are minimally non-invasive techniques. This paper presents a method based on the principles of the radioactive particle tracking technique to predict the instantaneous position of a radioactive particle to monitor a concrete mixture inside an industrial unit by means of Monte Carlo method and artificial neural network. Counts obtained by an array of detectors properly positioned around the mixing canister will be correlated to each other, by means of an appropriate mathematical search location algorithm, in order to predict the instantaneous positions occupied by an inserted radioactive particle. The simulation consists of a detection geometry of eight NaI(Tl) scintillator detectors, a 662 keV 137Cs point source with isotropic emission of gamma-rays and a polyvinyl chloride tank. At first, the tank is air filled and, afterwards, filled with concrete made with Portland cement. The modeling of the detection system is performed using the MCNPX code. For both medium, the correlation coefficient was 0.99 for all coordinates, which indicates that this methodology could be a good tool to evaluate industrial mixers.

The impact of foreign technological innovation on domestic employment via the industry mix

This paper analyses how differences in the industry composition of British local labour markets moderate the impact of foreign technological competition in manufacturing on domestic employment, both overall and across subsamples of workers with different skill levels (high, intermediate and low). To this scope, it exploits both variations across industries in the exposure to the introduction of new technologies, and information on how such industries are combined in shaping the industrial structure of each place. The analysis shows that places that specialise in industries undergoing substantial technological competition due to foreign innovation experience a reduction in total employment that is 4.5% larger than places less exposed based on their initial industry mix. This negative performance is mainly explained by a decrease in the employment opportunities for intermediate-skilled workers. Limited support is found for successful adaptation trajectories over time across British local labour markets.

Structural patterns of city-level CO2 emissions in Northwest China

In Northwest China, quantifying city-level CO2 emissions is fundamental to CO2 alleviation but encounters difficulties in data availability and quality. Further, structuring city-level emissions could be conductive to CO2 reduction. This study applies a practical methodology to 16 northwestern Chinese cities to grasp their historical trajectories of CO2 emissions. Then, structuring CO2 emissions is explored in terms of industrial structure, energy mix and urban-rural disparities for 8 northwestern Chinese cities. Results show that: (1) for 16 cities (2010–2015), capital and industrial cities generated most emissions. Meanwhile, CO2 emissions were mostly incompatible with CO2 intensity, but consistent with CO2 per capita; (2) for 8 cities (2006–2015), energy producing sectors, heavy manufacturing sectors, and coal remained major drivers of emissions. Then, the interconnection between industrial structure and energy mix exerted temporally varying impacts on emissions from energy producing sectors and heavy manufacturing sectors. Besides, urban gas consumption and rural coal use continued affecting most of household consumption emissions and household consumption emissions per capita. Moreover, the interplay between emissions and population was changed when emissions by energy type were decomposed among urban and rural households; and (3) uncertainty results fall in the range of −39% to 6%. Finally, implications for CO2 reduction and future work are proposed.

Analisis Struktur Ekonomi dan Sektor Unggulan Kabupaten Aceh Besar

Development policy through the optimization of local resource potential is a need that needs to be prepared in order to encourage the acceleration of regional economic growth. Identify changes in economic structure and determine the leading economic sectors including one of the efforts to accelerate the process of achieving economic growth. This study aims to analyze changes in economic structure and determine the leading economic sectors in Aceh Besar District. The data used is secondary data in the form of time series data (time series) Gross Regional Domestic Product (GRDP) of Aceh Besar Regency based on constant prices and GRDP of Aceh Province based on the constant price of 2012-2016. The analyzer used is Shift-Share. During the last five years, Aceh Besar's economic structure based on Shift-Share was only donated by Aceh Province by 19.60 percent. Furthermore, the industry mix contributed 17.89 percent. The leading economic sectors accounted for 62.50 percent of Aceh Besar economic structure changes. The result of Shift Share analysis shows that most of Aceh Besar Regency's economic sector is one of the leading sectors that grow fast in economy in Aceh Province. Only the electricity and gas procurement sector does not excel in Aceh Besar.

Regional development and carbon emissions in China

China announced at the Paris Climate Change Conference in 2015 that the country would reach peak carbon emissions around 2030. Since then, widespread attention has been devoted to determining when and how this goal will be achieved. This study aims to explore the role of China's changing regional development patterns in the achievement of this goal. This study uses the logarithmic mean Divisia index (LMDI) to estimate seven socioeconomic drivers of the changes in CO2 emissions in China since 2000. The results show that China's carbon emissions have plateaued since 2012 mainly because of energy efficiency gains and structural upgrades (i.e., industrial structure, energy mix and regional structure). Regional structure, measured by provincial economic growth shares, has drastically reduced CO2 emissions since 2012. The effects of these drivers on emissions changes varied across regions due to their different regional development patterns. Industrial structure and energy mix resulted in emissions growth in some regions, but these two drivers led to emissions reduction at the national level. For example, industrial structure reduced China's CO2 emissions by 1.0% from 2013 to 2016; however, it increased CO2 emissions in the Northeast and Northwest regions by 1.7% and 0.9%, respectively. Studying China's plateauing CO2 emissions in the new normal stage at the regional level yields a strong recommendation that China's regions cooperate to improve development patterns.

Importance of factors driving firms’ decisions on spatial distribution structures

ABSTRACT The design of a spatial distribution structure is of strategic importance for companies, to meet required customer service levels and to keep logistics costs as low as possible. Spatial distribution structure decisions concern distribution channel layout – i.e. the spatial layout of the transport and storage system – as well as distribution centre location(s). This paper examines the importance of seven main factors and 33 sub-factors that determine these decisions. The Best-Worst Method (BWM) was used to identify the factor weights, with pairwise comparison data being collected through a survey. The results indicate that the main factor is logistics costs. Logistics experts and decision makers respectively identify customer demand and service level as second most important factor. Important sub-factors are demand volatility, delivery time and perishability. This is the first study that quantifies the weights of the factors behind spatial distribution structure decisions. The factors and weights facilitate managerial decision-making with regard to spatial distribution structures for companies that ship a broad range of products with different characteristics. Public policy-makers can use the results to support the development of land use plans that provide facilities and services for a mix of industries.

Robots, Automation and the demand for Industrial Space

We utilize the data set developed by Acemoglu & Restrepro (2017) depicting the likely adoption rate of robots by firms in each US MSA. Our focus is on the impact of this automation metric on the market for industrial real estate (factories and warehouses). We get similar results to their negative impacts of automation on local labor markets. Over 1993-2007, MSA with an industry mix that that more rapidly automating are associated with significantly less construction of new industrial space, less growth in overall occupied space, and lower increases in industrial space rents. The use of industry mix based “estimated” robot adoption, and a wide range of applied control variables, suggests that this relationship is causal.

National, regional or industrial explanation for firms' deaths in the European Union since 2010 until 2014 - a shift-share application

The concept of business closure is one of the most important in business demography. Traditionally, firms' closure has been associated with regional factors. Still, a region can have different from the nation aggregate rate of activity because it has a different mix of industries and/or because it enjoys comparatively more favourable local conditions. Thus, business closure may be driven by the business cycle, industrial composition as well as a regional advantage. So, the present work is dedicated to analyse the factors that may drive business closure in European Union countries between 2010 and 2014, and to find out which of them has/have been the most important one(s). For this purpose, a shift-share decomposition analysis of business closure will be applied. The results proved that regional component had the highest impact on firms' deaths during the investigated period of time for almost all countries included in the analysis.

National, regional or industrial explanation for firms' deaths in the European Union since 2010 until 2014 - a shift-share application

The concept of business closure is one of the most important in business demography. Traditionally, firms' closure has been associated with regional factors. Still, a region can have different from the nation aggregate rate of activity because it has a different mix of industries and/or because it enjoys comparatively more favourable local conditions. Thus, business closure may be driven by the business cycle, industrial composition as well as a regional advantage. So, the present work is dedicated to analyse the factors that may drive business closure in European Union countries between 2010 and 2014, and to find out which of them has/have been the most important one(s). For this purpose, a shift-share decomposition analysis of business closure will be applied. The results proved that regional component had the highest impact on firms' deaths during the investigated period of time for almost all countries included in the analysis.

Shift-share employment analysis of cantons in the Federation of Bosnia and Herzegovina

Structure of each economy, especially those in transition, is in constant change.Shift-share analysis is widely used for studying of regional economic change. Themodel in which the present analysis is conducted has three components: (i) the nationalgrowth component (in this paper the entity level of Federation of BH is usedas reference level), (ii) the industry mix component, and (iii) the competitive component.Each of them is measured on the basis of employment. The analysis enablesassessment of economic performance of a region (here cantons) in comparison to areference level (here the Federation of Bosnia and Herzegovina).In this paper authors aimed at capturing economic change at regional level. Authorshave compared the economic change in two time periods, 2006-2011 and 2012-2018.Changes in employment are expected in a small transitional and open economy suchas Bosnia and Herzegovina. Obtained results indicate that regional economy wentthrough considerable transformation. Some policy recommendations for policy decision-makers in the fields of education and labor market are also given in the paper.

Mixing study of non-spherical particles using DEM

In the last decade, granular flows have been studied extensively using DEM simulations. But only a little work has been done using non-spherical or real-shape particles even in the latest publications using powerful simulation tools making such study a need of the hour. This is important because the understanding of these particle shapes is crucial for design and development of real-life industrial mixers. In this work, we employed DEM (discrete element method) approach and used open-source simulation software LIGGGHTS to study the flow and mixing behaviour of polydisperse, non-spherical cohesionless particles in a cylindrical tank mixer. The mixer was agitated by using a four-bladed impeller and a blade-rake angle of 135°. We studied the flow and mixing behaviour by analysing particle velocities, contact forces and mixing performance. The mixing was quantified using a latest subdomain-based mixing index introduced by [1]. Different particle shapes were employed and expressed in terms of circularity/sphericity. We used seven different shapes in addition to spherical shape used for benchmarking. It is learnt that as we sway from circularity or sphericity, the mixing performance decreases. The complex (or in fact the real) shape particles are observed to have lower mixing performance compared to spherical particles under similar conditions.

The influences of transformational leadership on employee employability

PurposeThe purpose of this paper is to examine the mediating role of job characteristics and social exchange in transformational leadership (TFL) and employability relationship.Design/methodology/approachThe sample is composed of 760 participants employed in Yangtze Delta and Pearl River Delta in China. The participants have worked under their line manager for more than one year. In order to better prevent data from possible common method bias, two waves of surveys (in 2014) on a stratified sample, included a mix of industries, such as construction, manufacturing, finance, insurance and communications, were used to investigate the proposed relationship between TFL, job characteristics, social exchange and employability.FindingsThe research has empirically tested the relationship between TFL and employability. While previous research has analyzed the relationship between them, the authors have enriched existing literature by exploring the mediating factors and illustrating the importance of indirect effects. Besides the direct effect, the results of this study showed that TFL could also improve employees’ employability through job demands, skill discretion, decision authority, perceived organizational support and team–member exchange, but not leader–member exchange.Originality/valueThe study opens up a debate around the employability of employees as it stands apart from the performance measurement. The authors believe that this new mediating model can provide an insight into complex mechanisms of employability enhancement from the perspective of leader development.

The mobility of displaced workers: How the local industry mix affects job search

Are there Marshallian externalities in job search? We study how workers who lose their jobs in establishment closures in Germany cope with their loss of employment. About a fifth of these displaced workers do not return to social-security covered employment within the next three years. Among those who do get re-employed, about two-thirds leave their old industry and one-third move out of their region. However, which of these two types of mobility responses workers will choose depends on the local industry mix in ways that are suggestive of Marshallian benefits to job search. In particular, large concentrations of one’s old industry makes it easier to find new jobs: in regions where the pre-displacement industry is large, displaced workers suffer relatively small earnings losses and find new work faster. In contrast, large local industries skill-related to the pre-displacement industry increase earnings losses but also protect against long-term unemployment. Analyzed through the lens of a job-search model, the exact spatial and industrial job-switching patterns reveal that workers take these Marshallian externalities into account when deciding how to allocate search efforts among industries.

Cost-Energy Optimum Pathway for the UK Food Manufacturing Industry to Meet the UK National Emission Targets

This paper investigates and outlines a cost-energy optimised pathway for the UK food manufacturing industry to attain the national Greenhouse Gas (GHG) emission reduction target of 80%, relative to 1990 levels, by 2050. The paper employs the linear programming platform TIMES, and it models the current and future technology mix of the UK food manufacturing industry. The model considers parameters such as capital costs, operating costs, efficiency and the lifetime of technologies to determine the cheapest pathway to achieve the GHG emission constraints. The model also enables future parametric analyses and can predict the influence of different economic, trade and dietary preferences and the impact of technological investments and policies on emissions. The study showed that for the food manufacturing industry to meet the emission reduction targets by 2050 the use of natural gas as the dominant source of energy in the industry at present, will have to be replaced by decarbonised grid electricity and biogas. This will require investments in Anaerobic Digestion (AD), Combined Heat and Power (CHP) plants driven by biogas and heat pumps powered by decarbonised electricity.

Towards the development of eco-industrial estates in Bhutan

This paper investigates the potential of applying industrial ecology in the development of eco-industrial estates in Bhutan. It presents the factors contributing to the success or failure of eco-industrial estates along with the benefits arising from the set-up of such facilities to industry, the environment and local communities. The development strategies, policies, practices, laws, rules and regulations, market conditions and private-sector initiatives undertaken in Kalundborg Eco-industrial Park, Burnside Eco-industrial Park and Map Ta Phut Industrial Estate in Denmark, Canada and Thailand, respectively, are used to analyse eco-industrial development in Bhutan. The existence of supportive legislation, a close working relationship between the government and private sector, enabling an environment for information sharing, and a diverse mix of industries in Bhutan are identified as the key opportunities and supportive conditions for as well as the challenges to eco-industrial development in Bhutan and realisation of the government’s vision for a ‘cleaner’ industrial sector.

Increasing amounts of coir dust in substrates do not improve physical properties or growth of tree seedlings in a novel air-pruning propagation tray1

AbstractAir-pruning can improve tree seedling root quality in propagation by subjecting root tips to desiccation, thereby avoiding deflections, but also increases substrate dry-out rates. Several studies have indicated that coconut (Cocos nucifera L.) coir dust can enhance water holding properties, possibly benefiting trees grown in air-pruning trays. However, water availability characteristics are influenced by particle size. In this experiment, coir dust was added into a sphagnum peat-perlite substrate mix at rates of 10, 15 and 20%. An industry standard peat-perlite mix was tested as a fourth substrate type. Red oak (Quercus rubra L.), red maple (Acer rubrum L.), quaking aspen (Populus tremuloides Michx.) and eastern white cedar (Thuja occidentalis L.) were grown from seed in these four substrate types. Physical and chemical properties of all substrate types were analyzed pre-experiment. The particle size distribution was finer and more even in the peat-perlite mix compared to the three coir mixes. The higher proportion of coarse particles in the 20% coir mix may have reduced water availability. Seedlings grown in the 15 and 20% coir mixes had lower above and below-ground growth compared to the 10% coir and peat-perlite mixes in all species except red oak.Index words: soilless media, water holding capacity, air space, particle size distribution, chlorophyll content, tree growth.Species used in the study: red oak (Quercus rubra L.); red maple (Acer rubrum L.); quaking aspen (Populus tremuloides Michx.); eastern white cedar (Thuja occidentalis L.).

Flow of granular materials in a bladed mixer: Effect of particle properties and process parameters on impeller torque and power consumption

The torque and power needed to drive an impeller are important quantities that can indicate flow behavior and can be used to control processes, especially mixing and granulation in the pharmaceutical industry. In this study, experiments were conducted on monodisperse spherical glass beads flowing in a cylindrical bladed mixer agitated by an impeller. The impeller torque was measured using a rotating platform and a data recording device, and the power draw for the motor driving the impeller was measured using a power meter. The effect of various impeller blade designs and material properties on the torque and power were investigated as a function of the impeller blade rotation rate. It was found that the torque exerted on a granular bed and the power consumption were a strong function of the impeller blade configuration, the position of the blades in a deep granular bed, the fill height of the glass beads, and the size and friction coefficient of the particles. It was observed that the time-averaged torque and power consumption for different particle sizes qualitatively scaled with particle diameter. A scale-up relationship for a deep granular bed was developed: the time-averaged torque and average adjusted power consumption scaled with square of the material fill height.