Truck Diesel Engine Research Articles

Three-dimensional coupled vibration failure analysis and structural optimization of the crankshaft of the diesel engine used in the shale gas fracturing truck

The crankshaft is the key component of the shale gas fracturing truck's diesel engine. Mass imbalance due to errors in the manufacturing process and other damage caused by long periods of operation can cause vibration for the crankshaft vibration problem. The static analysis is carried out based on the ignition condition of the second cylinder. The modal analysis of the crankshaft is then carried out. The modal analysis showed that resonance could cause significant deformation of the crankshaft. Consequently, harmonic response analysis, stochastic vibration analysis, and topology optimization were carried out on the crankshaft. The results show that the modes of each order of the crankshaft of the fracturing truck diesel engine are diverse. The modal amplitude is large. Fatigue damage is easily generated. After optimization, the mass of the crankshaft is reduced, the first natural frequency is increased, and the crankshaft is far away from the resonance interval while avoiding resonance failure. This document provides theoretical guidance for the design, optimization, research, and development of crankshafts.

Analysis of metal content in the lubricating oils used in truck diesel engines

The lubricating oil of an internal combustion engine (I.C.E.) performs several functions with a major contribution to the reliability of the system, which involves proper operation during the operating period. Changing the engine oil early or late could generate additional costs and/or damage the engine’s performance. Thus, it becomes necessary to periodically analyse the oil used in the engine. In this work, the authors propose to analyse the metal content of the used engine oil and, based on the results obtained, to issue maintenance strategies. Samples taken from a number of 43 DAF trucks equipped with the same type of engine, MX - 11 330 H2, EURO 6, which use the same assortment of 10W30 oil, were analysed.

On the impact of using nanoparticles type additives on the altering of diesel fuel jet characteristics

Even though diesel-powered passenger cars and light-duty vehicles may not be sold in the European Union by 2035, possibly in most other countries will be. Truck diesel engines will remain in use after 2035 because electric trucks are not a viable alternative for goods transportation. This involves continuing research and development on diesel engines to reduce their pollutant emissions. Alternative (renewable) fuels with combustion improvers can diminish emissions at the source. Nanoparticle-based additives can enhance the efficiency and emissions of diesel engines through their intense catalytic activity and by improving the fuel injection process. However, their effect on the injection process has not been well tested and published in the dedicated literature. The use of nanoparticles mixed in small fractions with original diesel fuel influences the physicochemical properties of the fuel as well as the formation of fuel jets inside the combustion chamber. This research focuses on the opportunity of using different diesel fuel blends mixed with combustion improver additives such as MWCNT and CeO2 nanoparticles. In this sense, a simulation investigation was conducted using the AVL BOOST Hydsim software. The physicochemical properties of fuels were used to assess the macroscopic characteristics of the fuel spray, such as penetration, spray cone angle, and Sauter mean diameter. When increasing the nanoparticle dosage, the penetration and spray cone angle values are decreasing, while the Sauter mean diameter values are increasing. This tendency is present for both nanoparticle types considered.

Traffic-related air pollution, chronic stress, and changes in exhaled nitric oxide and lung function among a panel of children with asthma living in an underresourced community

We examined associations between short-term exposure to traffic-related air pollutants (TRAP) and airway inflammation and lung function in children with asthma, and whether these associations are modified by chronic psychological stress. Residents of underresourced port-adjacent communities in New Jersey were concerned about the cumulative impacts of exposure to TRAP, particularly diesel-engine truck emissions, and stress on exacerbation of asthma among children. Children with asthma aged 9–14 (n = 35) were recruited from non-smoking households. We measured each participant's (1) continuous personal exposure to black carbon (BC, a surrogate of TRAP) at 1-min intervals, (2) 24-h integrated personal exposure to nitrogen dioxide (NO2), (3) daily fractional exhaled nitric oxide (FeNO), and (4) lung function for up to 30 consecutive days. Personal BC was recorded by micro-aethalometers. We measured daily FeNO using the NIOX MINO, forced expiratory volume in one second (FEV1), and forced vital capacity (FVC) using Easy One Frontline spirometers. Chronic stress was measured with the UCLA Life Stress Interview for Children. The association was examined using linear mixed-effect models. In the fully adjusted model, an interquartile range (IQR) increase in BC at lag 0–6 h before the FeNO measurement was associated with 8 % (95 % CI: 3 % - 12 %) increase in FeNO, whereas an IQR increase in BC at lag 7–12 h and lag 0–24 h were associated with 6 % (95 % CI: 2 % - 11 %) and 7 % (2 % - 12 %) FeNO increases, respectively. There were no significant lung function changes per IQR increase in BC. No interactions were observed between chronic stress and BC on FeNO. Chronic stress was negatively associated with individual average FeNO levels. Our findings suggest that higher levels of BC exposure within the prior 24 h increased airway inflammation levels in children with asthma, with the strongest effect observed within the first 6 h.

USE OF UREA FOR CLEANING USED SEMI-SYNTHETIC MOTOR OILS

During the operation of motor vehicles with gasoline or diesel internal combustion engines, motor oil is exposed to high temperatures, is constantly in contact with metals, its hydrocarbon part undergoes chemical transformations, is contaminated by wear products of metal surfaces, decomposition of additives, and residues of incomplete combustion of fuel. As a result, motor oil undergoes irreversible changes in its high-quality chemical composition and loss of operational properties. The paper describes the results of the study of the process of cleaning exhausted semi-synthetic motor oils in the presence of crystalline urea. Castrol 10W-40 oil, widely used in truck diesel engines, and ELF Evolution 700 STI oil, used in passenger car gasoline engines, were chosen as used semi-synthetic motor oils. The influence of the main factors of process control (the amount of urea, duration, and temperature) on the change in the functional properties of refined motor oils was studied. It was established that the lowest values of defective indicators (acid number, water content, ash content, content of mechanical impurities) were obtained at 140 ºС, duration of 80 min., and 5 mass. % of crystalline urea. In addition, there is a slight increase in the values of kinematic viscosity and viscosity index. The method of X-ray fluorescence analysis confirmed that the content of metals decreased in urea-treated oils compared to used ones. IR spectroscopic research demonstrated that under the established optimal conditions of the purification process with crystalline urea, the content of oxygen-containing "aging" products (aldehydes, ketones, alcohols, ethers, esters, organic acids) in purified semi-synthetic motor oils significantly decreased. It is proposed to use the process of cleaning used semi-synthetic motor oils in the presence of crystalline urea as an intermediate stage of the combined technological cycle of regeneration of used motor oils.

Comprehensive Experimental and Numerical Optimization of Diesel Engine Thermal Management Strategy for Emission Clarification and Carbon Dioxide Control

Improving the thermal efficiency of truck diesel engines requires comprehensive optimization of the engine, exhaust aftertreatment (EAT), and possible waste heat recovery (WHR). Lower exhaust temperature at mid and low working points has caused difficulty in both emission clarification and heat recovery, which requires thermal management. Based on the diesel engine bench test and separate bench tests, this paper focuses on the thermal management strategy optimization, to increase the exhaust temperature at lower working points and optimize the thermal efficiency of the whole system. The test and numerical analysis showed that as exhaust temperature increased from 200~250 °C to 300~350 °C, soot passive regeneration reactions were enhanced, nitrogen oxide emission decreased, and energy recovery was improved. Moderate throttle valve adjustment coupled with early post injection could effectively achieve the required temperature increase. The optimized thermal management strategy increased the fuel consumption rate by no more than 1%. Meanwhile, the WHR system output increased significantly, by 62.55% at a certain mid–low working point. System CO2 emission decreased by an average of 5.4% at selected working points.

Assessment of the impact of the number and the arrangement of cylinders of the KAMAZ disel engines on their fuel efficiency

Most of the natural aspirated truck diesel engines had an eight-cylinder V-twin (V8) configuration. Modern turbocharged diesel engines have a six-cylinder in-line configuration (L6), although some V8 diesel engines continue to be produced. A comparison was made of the performance of the KAMAZ-740 (V8) diesel engine with two turbochargers and KAMAZ-910 (L6) diesel engines with one turbocharger, having almost the same displacement with the same pattern of torque along the full load characteristic. The AVL BOOST software and experimental compressor and turbine maps were used. The factors influencing fuel efficiency were analyzed: indicated efficiency, friction and gas exchange losses, turbocharger efficiency. The L6 diesel engine had a uniform pressure pulsation in the exhaust manifold and at the turbine inlet. In the V8 diesel engine, the pulsations were uneven and had higher amplitude, which led to higher gas exchange losses and a decrease in turbine efficiency. The L6 diesel engine had a higher indicated efficiency but also higher friction losses. On average, the brake specific fuel consumption of the L6 diesel engine was by 5.5 % lower than that of the V8 diesel engine. Keywords V8 and P6 diesel engines; modeling in AVL BOOST; pressure pulsations in the exhaust system; turbocharger efficiency; friction and gas exchange losses

Failure analysis of CK45 steel crankshaft in light truck diesel engine

Failure analysis was performed on the light truck diesel engine crankshaft made of CK45 steel. Premature failure has been reported in the fillet zones of the main journal-to-crankpin. This study included chemical composition determination, macro and microstructural analysis, mechanical properties evaluation, fractography, and numerical analysis. Fractographic studies using the scanning electron microscope (SEM) identified fatigue as the main mechanism of crankshaft failure. Numerical results showed that the maximum value of stress has occurred in the crack initiation zone. The results of macro measurements showed that the fillet radius was much more than the standard size (r≫0.015dcrankpin). In addition, the hardness results monitored that the main journal surface was slightly reduced to 0.1 mm (550HV difference at 0.1 mm) of induced hardness that a non-uniform distribution of high-slope hardness was observed throughout the cross-section in the main journal. In general, the experimental results showed that the high-slope hardness, the fillet radius more than the standard size, and the presence of stress concentration may be caused the crack to initiate in the fillet zone and thus the cyclic load of combustion pressure has been propagated the crack growth.

Effects of inlet velocity and structure parameters on the performance of a rotary diesel particulate filter for truck diesel engine based on fuzzy grey relational analysis

In this paper, a three-dimensional mathematical model of the rotary diesel particulate filter (RDPF) for truck diesel engine is established according to the fluid mechanics and porous media theory. The effects of inlet velocity and structure parameters (diameter ratio, expansion angle and filter length) on the flow uniformity in the RDPF are investigated. Furthermore, the Fuzzy grey relational analysis (FGRA) is employed to make a weight analysis of the influences of structure parameters on the regeneration performance and pressure drop of the RDPF. The results show that the velocity uniformity in the RDPF can be improved by properly reducing the inlet velocity, diameter ratio or expansion angle θ1. The capture-regeneration volume ratio with 8–10 is appropriate range for the structural optimization. Finally, the expansion angle θ1 is the most important structure parameter for the filter regeneration performance (regeneration time R = 0.8467; regeneration efficiency R = 0.6849) and the diameter ratio is the most important structure parameter for the pressure drop at the capture-regeneration “balance point” (R = 0.9352).

Effect analysis on pressure sensitivity performance of diesel particulate filter for heavy-duty truck diesel engine by the nonlinear soot regeneration combustion pressure model

In this paper, the nonlinear soot regeneration combustion pressure model (NSRCMP model) is established and employed for Diesel Particulate Filter (DPF) simulation study. The NSRCMP model is reliable and accurate under simulation and experimental conditions of the process of clean filter, soot loading and soot regeneration combustion. The DPF soot loading response time and pressure drop are investigated under the parameter changes of cell density, wall thickness and permeability. It is a new attempt to measure the DPF pressure sensitivity by the trend of different design parameters. Cell density and permeability affect the soot loading time dramatically and the maximum and minimum soot loading time ratio is 3. Cell density and permeability make a significant pressure drop change through the pressure sensitivity comparisons. The corresponding ratio of maximum pressure sensitivity parameter is 2.4 when the cell density is 100 cpsi. The comparison results of pressure sensitivity under different permeabilities show a fixed ratio of 1.4. The results show that cell density is the key parameter to affect the overall system pressure. The influence of wall thickness on pressure sensitivity is not sensitive to the change of configurations of DPFs.

Experimental Studies of the Effect of Air Filter Pressure Drop on the Composition and Emission Changes of a Compression Ignition Internal Combustion Engine

This paper presents an experimental evaluation of the effect of air filter pressure drop on the composition of exhaust gases and the operating parameters of a modern internal combustion Diesel engine. A literature analysis of the methods of reducing the emission of toxic components of exhaust gases from SI engines was conducted. It has been shown that the air filter pressure drop, increasing during the engine operation, causes a significant decrease in power output and an increase in fuel consumption, as well as smoke emission of Diesel engines with the classical injection system with a piston (sectional) in-line injection pump. It has also been shown, on the basis of a few literature studies, that the increase in the resistance of air filter flow causes a change in the composition of car combustion engines, with the effect of the air filter pressure drop on turbocharged engines being insignificant. A programme, and conditions of tests, on a dynamometer of a modern six-cylinder engine with displacement Vss = 15.8 dm3 and power rating 226 kW were prepared, regarding the influence of air filter pressure drop on the composition of exhaust gases and the parameters of its operation. For each technical state of the air filter, in the range of rotational speed n = 1000–2100 rpm, measurements of exhaust gas composition and emission were carried out, as well as measurements and calculations of engine-operating parameters, namely that of effective power. An increase in the pressure drop in the inlet system of a modern Diesel truck engine has no significant effect on the emissions of CO, CO2, HC and NOx to the atmosphere, nor does it cause significant changes in the degree of smoke opacity of exhaust gases in relation to its permissible value. An increase in air filter pressure drop from value Δpf = 0.580 kPa to Δpf = 2.024 kPa (by 1.66 kPa) causes a decrease in the maximum filling factor value from ηυ = 2.5 to ηυ = 2.39, that is by 4.5%, and a decrease in maximum power by 8.8%.

Effects of Accelerated Oxidation on Fuel Spray and Engine Characteristics of Karanja Biodiesel

Abstract The unsaturated content of biodiesel makes it prone to oxidation resulting in variations in the fuel properties, hindering its widespread application. Variations in biodiesel properties impact injection, spray, evaporation, mixing and combustion processes. The present study investigates the effect of accelerated oxidized Karanja biodiesel on injector flow, macroscopic spray, and engine characteristics. The accelerated oxidation of Karanja biodiesel is carried out by heating and bubbling the air through the fuel. The variations in fuel properties that profoundly influence spray and engine characteristics are analyzed before and after accelerated oxidation. Even though biodiesel viscosity is increased beyond the ASTM specification limit due to accelerated oxidation, the variations in the density, surface tension, and calorific value are marginal. The injector flow and macroscopic spray characteristics are investigated for fresh and oxidized biodiesel using a constant volume spray chamber at different chamber and injection pressures. The results indicate a similar fuel flowrate and injection velocity for the fresh and oxidized biodiesels at identical test conditions. Under identical test conditions, the macroscopic spray characteristics between the test fuels are negligible. Engine experiments with fresh and oxidized biodiesel are carried out in an automotive truck diesel engine at rated torque speed and variable load conditions. A shorter ignition delay (∼20% lower), less intense premixed combustion, and lower nitrogen oxide (NOx) emissions (∼27% lower) are observed with oxidized biodiesel. The study concludes that despite significant variations in the kinematic viscosity of fresh and oxidized biodiesels (∼28% higher), the variations in macroscopic spray and engine performance characteristics are insignificant.

Effects of different piston combustion chamber heights on heat transfer and energy conversion performance enhancement of a heavy-duty truck diesel engine

The heat transfer and energy conversion characteristics of 3 kinds of pistons are studied based on the heat load prediction model of diesel engine piston. Thermal energy conversion effects of pistons for heavy-duty truck engine performance are investigated which involve air-fuel ratio, intake flow, exhaust temperature and fuel consumption. The research results illustrate the whole temperatures and heat flux of piston rise with increase of piston combustion chamber height. The maximum and the minimum temperature difference are 18.34 K and 3.07 K of piston-12, piston-15 and piston-18 with the piston wall surface temperature change dramatically. Maximum heat flux (1 203 500 W/m2, 1 488 500 W/m2, 1 523 200 W/m2) and the minimum heat flux (761.37 W/m2, 990.41 W/m2, 1325.2 W/m2) of piston-12, piston-15 and piston-18 are conspicuously conspicuously different with piston wall surface heat flux significant change. Piston-18 has the characteristics of large air-fuel ratio (27.3) and intake flow (844.33 kg/h), low fuel consumption (217.3 g/kW·h) and exhaust temperature (776.8 K), which shows that it is more efficient and the heat energy conversion capability is improved remarkably. The appropriate piston chamber height can improve heat transfer and energy conversion performance.

Researches regarding the animal fats use at a truck diesel engine

The paper objectives answer to European Commission requires which decided for transport sector a 90% reduction of pollutants emissions till the year 2050. Alternative fuels like animal fats can represent a viable solution for diesel engines due to their good combustion properties, pollution reduction, and the possibility of raw state use in blends with diesel fuel or as biodiesel. A D2156 truck diesel engine is fueled with preheated raw animal fats, blend with diesel fuel in 5% and 10%. At the 55% engine load and 1450 rpm engine speed, for 10% animal fats-diesel fuel blend, the pollutant emissions levels decrease with 21% for NOx, with 50% for HC, with 66% for CO, with 30% for smoke due to the decrease of carbon content and increase of oxygen content. The CO2 emission level decrease by 14%. An important novelty aspect is a good correlation between engine running regime, diesel fuel, and animal fats cyclic dose, pollutants emissions level and exhaust gases temperature. The use of animal fats is a good opportunity to improve the environmental protection from pollutants emissions and greenhouse gases for diesel engines. The use of raw animal fats does not require significant changes to the diesel engine design.

Failure analysis of ductile iron crankshaft in compact pickup truck diesel engine

The crankshaft is one of the structural components of the engine that converts the linear motion of the piston into rotational motion. In this study, the failure analysis of spheroidal graphite cast iron (SGCI) crankshafts of compact pickup truck diesel engine was investigated that premature failure occurred in the web-crankpin fillet zone of all four crankpins. A series of experiments including chemical composition, mechanical properties, hardness, and tensile tests were performed. Optical microscope (OM) and scanning electron microscopes (SEM) equipped with energy-dispersive X-ray spectroscopy (EDS) were used to investigate the microstructure, defects, fracture surface, and failure cause. To estimate the crankshaft stress field under cyclic bending combined with steady torsion, a nonlinear three-dimensional stress analysis model was used. Fractography showed that the failure is a type of transient low cycle fatigue and includes three zones of crack initiation, fatigue crack propagation, and fast final fracture. Also, hardness and microstructure results revealed that there is no hardened surface layer on both the crankpin and the main journal (>600 HV0.1 proposed standard). In addition, the microstructural characteristics showed that the material nodularity used in the failed crankshafts is within the acceptable minimum range (>80% nodularity). Besides, numerical stress analysis showed that the highest stress is in the web-crankpin fillet zone, which is in good agreement with the experimental field measurements. Finally, recommendations have been provided to ensure long fatigue life and prevent premature failure.

Reliability Analysis of Heavy-Duty Truck Diesel Engine Based on After-Sales Maintenance Data

Understanding the weak points and reliability influencing factors of products is the great significance for manufacturers to improve their design and make reasonable after-sales plans. Failure data are the basis for reliability analysis. Due to the long service life and high cost of engines, it is expensive and time-consuming to obtain failure data through reliability tests. After-sales maintenance data are an important reliability data, which intuitively reflects the field reliability performance of the product. In this paper, based on the after-sales maintenance data of heavy-duty truck diesel engines, the main failure points of diesel engines are identified, and the difference in service life of diesel engines under different service backgrounds is analyzed. In addition, gray relational analysis (GRA) is used to determine the main factors affecting the field reliability of diesel engines. The influence trend of usage rate on engine field reliability is analyzed. The results show that the fuel supply system has the highest proportion of failures in all subsystems. The failures of diesel engines mainly come from electronic devices and parts working in high-pressure environments. The service background has a significant impact on the life of the engine.

Abstracts

New additives are under development to improve wear and tear properties of engine components, fuel efficiency and to reduce carbon emissions from cars and commercial vehicles by reducing friction. To prolong the lifetime and maintain the efficiency of exhaust car emission reduction devices, the modern engine oils must contain low sulphate dash, phosphorus and sulfur. This thesis describes the impact of adding lubricant additives on the visco-elastic and thermo-physical properties of engine oils. The engine oils used in automotive industry are one of the most widely used consumable entities. There has been an ever increasing demand to improve the performance of engine oil lubricants. For that purpose, performance enhancing additives have been added to engine oil lubricants since past few decades. Subsequently, there is an ever increasing need to show the contribution lubricant additives make towards the automotive industry, the consumer and the impact on the environment. Such additives encompass applications for lubrication of passenger car (diesel and gasoline engine) lubricants, truck, coach and bus diesel engine lubricants, heavy duty engine oil etc. The document demonstrates the contribution made by lubricant additives in these applications to the consumer, industry and the environment, through their ability to optimise desirable lubricant properties while suppressing unwanted ones.

Особенности технических требований к эксплуатационным свойствам

Analytical information on the state of the art in the development and implementation of new foreign requirements in the specifications for motor oils for serial and future automobile engines, taking into account global trends in environmental protection, is presented. Global technical requirements for the level of properties of engine oils are traditionally improved, both in the direction of meeting the design features of new engines and their operating conditions. For example, the market for motor oils for automotive diesel engines is gradually moving to products with lower kinematic viscosity with the advancement of the advantages of new technologies, which makes them more accessible for use by truck fleets. Over the past decades, engine oils with viscosity grades 15W-40 according to SAE (Society of Automotive Engineers - SAE) in the heavy truck market and 10W-30 according to SAE in the passenger car market have been the main ones. More recently, there has been a transition to truck operation on SAE 10W-30 viscosity grades, and a trend has gradually emerged towards the use of the latest category of engine oils for diesel engines FA-4 API (American Petroleum Institute - API) with a lower viscosity. Currently, the demand is shifting towards low-viscosity oils that meet the three needs of diesel engines for trucks [1].

Modelling Fuel Consumption andNOₓEmission of a Medium Duty Truck Diesel Engine With Comparative Time-Series Methods

This study focuses on different intelligent time series modelling techniques namely nonlinear autoregressive network with exogenous inputs (NARX), autoregressive integrated moving average with external inputs (ARIMAX), multiple linear regression (MLR), and regression error with autoregressive moving average (RegARMA), applied on a diesel engine to predict NO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">x</sub> emission and fuel consumption. The experiment data are collected from a six cylinder, four stroke medium duty truck diesel engine, which is integrated on a passenger bus and operated in engine integration tests. NO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">x</sub> emission and fuel consumption outputs are estimated with the help of input data; exhaust gas recirculation temperature and position, engine coolant temperature, engine speed, exhaust gas pressure, common rail pressure, intake manifold air temperature and pressure, accelerator pedal percentage, engine load, turbocharger variable geometry position and speed, and selective catalytic reduction outlet temperature. NARX artificial time series neural network, MLR, ARIMAX, and RegARMA time series techniques were separately applied for the estimation NO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">x</sub> emission and fuel consumption outputs. The performance of the models is analyzed and evaluated with Bayesian information criterion (BIC) and root mean square error (RMSE) criteria. When the high cost and time loss of experimental testing are thought, using the intelligent modelling methodology provides far more accurate prediction and fast application abilities to analyze internal combustion engine dynamics for the control and calibration manner. As a result of the comparison of different types of modelling techniques, RegARMA technique comes to the forefront with 6707.6 BIC value with 105.58 RMSE for NO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">x</sub> emission model and 4026.4 BIC value with 7.93 RMSE for fuel consumption model.

Fuel filter condition monitoring (ffcm) devices innovation on truck diesel engine to prevent filter blocking due to use of bio diesel: b10-b20-b30

Currently, diesel fuel uses with a mixture of plant oil, or animal oil are increasingly stifling. To increase awareness of the dangers of global warming, the government strongly supports the presence of biodiesel. Biodiesel in Indonesia, such as B10, B20, or even B30, has been sold in the market. However, it turns out that the use of this mixture of fuels can cause fuel filters to be clogged faster than pure petroleum fuels. Some users are forced to replace the fuel filter faster than before. This can also cause unexpected blockages from diesel users, so we need a measuring device that can measure the level of the block from a fuel filter. The method in this research is to make a filter connecting bracket from aluminium then attach a pressure sensor to the fuel flow in and out, which is connected to the raspberry-based python programming communication system to be able to display the actual pressure data in each fuel flow leading to the fuel filter, after that the results of the innovation were tested directly on the diesel engine which was applied to the truck. The result of the design strength simulation can withstand a load of 15N with von mises stress on the bolt hole of 4.5 N / mm2 or 4.5 MPa the yield strength material applied to the bracket aluminium Alloy 6061 of 55 N / mm2 or 55 MPa, develop the system base on raspberry pi using a python program that will be read by the monitor board and will produce a percentage of a filter block right level of accuracy in reading the program that is with the error of 1,2%, after the tool is fabricated, it is tested directly on the truck diesel engine, namely on a new filter or 0 hours using biodiesel fuel B0, the result is a block filter percentage of 40%, biodiesel B20 has a block filter percentage of 41% and using biodiesel fuel B30 gets the filter block yield by 42%.