Technical aspects concerning the detection of animal waste nutrient content via its electrical characteristics

Bietresato, Marco; Sartori, Luigi

doi:10.1016/j.biortech.2012.12.184

Cited by 9 publications

(6 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The RSM is a very effective numeric tool that allows calculating, from a set of input data, an explicit polynomial regression-function that is the best approximation, in a limited validity domain, of the real function governing the phenomenon under study [29][30][31]. The input data can come equally from an experimental design or a simulation design performed through a tuned model, as in this case (the RSM has been applied to the RSI values given as an output by the simulator).…”

Section: The Response Surface Modellingmentioning

confidence: 99%

A parametric approach for evaluating the stability of agricultural tractors using implements during side-slope activities

Bietresato¹,

Carabin²,

Vidoni³

et al. 2015

ces

Self Cite

View full text Add to dashboard Cite

A parametric approach for evaluating the stability of agricultural tractors using implements during side-slope activities / Bietresato, M.; Carabin, G.; Vidoni, R.; Mazzetto, F.; Gasparetto, A.. -In: CONTEMPORARY ENGINEERING SCIENCES. -ISSN 1313-ISSN -6569. -8:28(2015, pp. 1289-1309. OriginalA parametric approach for evaluating the stability of agricultural tractors using implements during side-slope activities 1290Marco Bietresato et al. AbstractA methodological approach for evaluating a priori the stability of agricultural vehicles equipped with different mounted implements and operating on sloping hillsides is shown here. It uses a Matlab simulator in its first phase and, subsequently, the Response Surface Modelling (RSM) to evaluate the coefficients of a set of regression equations able to account for the Type-I and Type-II stability of the whole vehicle (tractor + implement with known dimensions and mass). The regression equations can give reliable punctual numeric estimations of the minimum value of the Roll Stability Index (RSI) and can verify the existence of a Type-I equilibrium without the need of using the simulator or knowing any detail about the model implemented in it. The same equations can also be used to generate many intuitive graphs ("equilibrium maps") useful to verify quickly the possible overturning of the vehicle. A case-study concerning a 4-wheel drive articulated tractor is then presented to show the potential of the approach and how using its tools. The tractor has been studied in three scenarios, differing on where the implement has to be connected to the tractor (1: frontally; 2: frontally-laterally; 3: in the back). After performing a series of simulations, a set of polynomial models (with 6 independent variables) has been created and verified. Then, these models were used, together with the related equilibrium maps, to predict the stability of 8 implements for scenario 1, 7 implements for scenario 2, and 3 implements for scenario 3, evidencing in particular the danger of using a lateral shredder with a mass greater than 245 kg. The proposed approach and its main outcomes (i.e., the regression equations and the equilibrium maps) can give an effective contribution to the preventive safety of the tractor driver, so it could be useful to integrate it in the homologation procedures for every agricultural vehicle and to include the resulting documentation within the tractor logbook.

show abstract

Section: The Response Surface Modellingmentioning

confidence: 99%

A parametric approach for evaluating the stability of agricultural tractors using implements during side-slope activities

Bietresato¹,

Carabin²,

Vidoni³

et al. 2015

ces

Self Cite

View full text Add to dashboard Cite

show abstract

“…However, at present there is an increasing concern about the impact of high levels of manure fertilization in different parts of the European Union, including some Spanish regions, where pig production 2 tion are necessary for an efficient use of slurry and as a consequence prediction methods have been developed during the last decade. These may be based on physicochemical models (Chen et al, 2009;Yagüe et al, 2012) or the electrical properties (Bietresato & Sartori, 2013). Also, spectroscopic methods, as near infrared reflectance spectroscopy (NIRS) have found increasing use in the laboratory for low cost and rapid analysis, and offer a great potential for on-farm testing (Saeys et al, 2005).…”

Section: Introductionmentioning

confidence: 99%

Relationships among slurry characteristics and gaseous emissions at different types of commercial Spanish pig farms

Becaccia

Ferrer

Ibáñez

et al. 2015

Span. j. agric. res.

View full text Add to dashboard Cite

This study aimed to analyse several factors of variation of slurry composition and to establish prediction equations for potential methane (CH 4 ) and ammonia (NH 3 ) emissions. Seventy-nine feed and slurry samples were collected at two seasons (summer and winter) from commercial pig farms sited at two Spanish regions (Centre and Mediterranean). Nursery, growing-fattening, gestating and lactating facilities were sampled. Feed and slurry composition were determined, and potential CH 4 and NH 3 emissions measured at laboratory. Feed nutrient contents were used as covariates in the analysis. Near infrared reflectance spectroscopy (NIRS) was evaluated as a predicting tool for slurry composition and potential gaseous emissions. A wide variability was found both in feed and slurry composition. Mediterranean farms had a higher pH (p<0.001) and ash (p=0.02) concentration than those located at the Centre of Spain. Also, type of farm affected ether extract content of the slurry (p=0.02), with highest values obtained for the youngest animal facilities. Results suggested a buffer effect of dietary fibre on slurry pH and a direct relationship (p<0.05) with fibre constituents of manure. Dietary protein content did not affect slurry nitrogen content but decreased (p=0.003) total and volatile solids concentration. Prediction models of potential NH 3 emissions (R 2 =0.89) and CH 4 yield (R 2 =0.61) were obtained from slurry composition. Predictions from NIRS showed a high accuracy for most slurry constituents (R 2 >0.90) and similar accuracy of prediction of potential NH 3 and CH 4 emissions (R 2 =0.84 and 0.68, respectively) to models using slurry characteristics, which can be of interest to estimate emissions from commercial farms and establish mitigation strategies or optimize biogas production. Additional key words: ammonia; methane; NIRS; animal nutrition; prediction model.

show abstract

“…Specifically, the RSM allows the calculation of an explicit polynomial regression-function of a dependent variable (called "response") from a set of input data concerning a set of independent variables (or "factors"), assumed to be measurable and continuous in their own variation ranges. This function is the best approximation, in a limited validity domain (i.e., the first part of the Taylor series up to the third degree), of an unknown real function [69][70][71][72]. In this study, RSM was used to elaborate the effect of different values of parameters on the results and, in particular, to find a combination of values useful to tune the CFD-FVM model (1st sub-procedure about CFD-FVM model tuning).…”

mentioning

confidence: 99%

Torque Prediction Model of a CI Engine for Agricultural Purposes Based on Exhaust Gas Temperatures and CFD-FVM Methodologies Validated with Experimental Tests

et al. 2021

Self Cite

View full text Add to dashboard Cite

A truly universal system to optimize consumptions, monitor operation and predict maintenance interventions for internal combustion engines must be independent of onboard systems, if present. One of the least invasive methods of detecting engine performance involves the measurement of the exhaust gas temperature (EGT), which can be related to the instant torque through thermodynamic relations. The practical implementation of such a system requires great care since its torque-predictive capabilities are strongly influenced by the position chosen for the temperature-detection point(s) along the exhaust line, specific for each engine, the type of installation for the thermocouples, and the thermal characteristics of the interposed materials. After performing some preliminary tests at the dynamometric brake on a compression-ignition engine for agricultural purposes equipped with three thermocouples at different points in the exhaust duct, a novel procedure was developed to: (1) tune a CFD-FVM-model of the exhaust pipe and determine many unknown thermodynamic parameters concerning the engine (including the real EGT at the exhaust valve outlet in some engine operative conditions), (2) use the CFD-FVM results to considerably increase the predictive capability of an indirect torque-detection strategy based on the EGT. The joint use of the CFD-FVM software, Response Surface Method, and specific optimization algorithms was fundamental to these aims and granted the experimenters a full mastery of systems’ non-linearity and a maximum relative error on the torque estimations of 2.9%.

show abstract

Technical aspects concerning the detection of animal waste nutrient content via its electrical characteristics

Cited by 9 publications

References 25 publications

A parametric approach for evaluating the stability of agricultural tractors using implements during side-slope activities

A parametric approach for evaluating the stability of agricultural tractors using implements during side-slope activities

Relationships among slurry characteristics and gaseous emissions at different types of commercial Spanish pig farms

Torque Prediction Model of a CI Engine for Agricultural Purposes Based on Exhaust Gas Temperatures and CFD-FVM Methodologies Validated with Experimental Tests

Contact Info

Product

Resources

About