The problem of maintaining the crankshaft speed of an automotive engine within a given set interval (idle speed control), is formalized as a constrained control problem using a hybrid model of the engine. The control problem is difficult because the system has delays and a large number of constraints. The approach for the synthesis of a controller for this system is based on the theory develope...

This study describes the remanufacturing process scheme and key technologies of waste compressors. Firstly, technical characteristics compressors for home appliances such as refrigerators air conditioners are summarised. Then, is proposed with refrigerator compressor research object. The purpose or requirements processes separation, disassembling, cleaning, detecting, reassembling also elaborat...

Crankshafts are the most important loaded components in the case of an automobile. In order to achieve required mechanical properties most of crankshafts for automobile are forged with micro alloyed steel. Usually, the shapes of crankshafts are complex, and many defects are induced during the process of crankshaft forging such as under-filling, laps and folds etc. In this work the forging analy...

Misfire detection systems are becoming increasingly important in automotive market due to recent environmental issues {Euro rules}. An early misfire diagnosis also allows to prevent damages to the exhaust emission system and consequent costs for the user. Today few low cost methods exists in order to precisely detect single misfires in real time, the majority in fact require the use of expensiv...

A series of solid-state structural transformations are found to accompany desolvation of relatively simple coordination polymers to yield materials that exhibit unexpected gas sorbing properties. Reaction of 1,2,4,5-tetrahydroxybenzene with M(II) salts (M = Mg, or Zn) in an alcohol/water solution in the presence of air affords cis-M(II)(C6H2O4(-II))(H2O)2·2H2O·xROH, (M = Mg, or Zn), crankshaft-...

Predictive maintenance has been employed to reduce costs and production losses prevent any failure before it occurs. The framework proposed in this work performs diesel engine prognosis by evaluating the absolute value of severity using random forest (RF) multilayer perceptron (MLP) neural networks. A database was implemented with 3500 scenarios overcome problem inducing destructive failures en...

The information provided by the in-cylinder pressure signal is of great importance for modern engine management systems. The obtained information is implemented to improve the control and diagnostics of the combustion process in order to meet the stringent emission regulations and to improve vehicle reliability and drivability. The work presented in this paper covers the experimental study and ...