Renault Nissan Technology & Business Centre India Facility Engineer Interview Questions and Answers

CFMEA stands for Control Failure Mode and Effects Analysis.

• CFMEA is a systematic approach used to identify and mitigate potential failures in a process or system.

• It involves analyzing failure modes, their causes, and the potential effects on the process or system.

• CFMEA helps in prioritizing and implementing control measures to prevent or minimize failures.

• It is commonly used in industries such as manufacturing, automot...read more

System level DFMEA is given main preference.

• System level DFMEA considers the entire system and its interactions.

• Component level DFMEA focuses on individual components.

• System level DFMEA is more comprehensive and effective in identifying potential failures.

• Example: In automotive industry, system level DFMEA would consider the entire vehicle and its subsystems.

• Example: In medical devices, system level DFMEA would conside...read more

Turbocharger uses exhaust gases to compress air and increase engine power. Compressor map shows its efficiency.

• Turbocharger uses a turbine to spin a compressor wheel

• Exhaust gases from the engine turn the turbine

• The compressor wheel draws in air and compresses it

• Compressor map shows the efficiency of the turbocharger at different operating conditions

• Efficiency is measured by pressure ratio and mass flow rate

NOx formation is a result of high combustion temperatures in diesel engines. EGR reduces NOx by recirculating exhaust gases.

• NOx is formed due to high combustion temperatures

• EGR reduces NOx by recirculating exhaust gases

• EGR dynamics involve controlling the amount of exhaust gas recirculated

• EGR can affect engine performance and emissions

• NOx formation can be reduced by using SCR (Selective Catalytic Reduction) systems

I have extensive experience in Matlab, Python, and R.

• I have used Matlab for data analysis and modeling in my previous job at XYZ company.

• I have developed machine learning algorithms using Python for a project at ABC company.

• I have used R for statistical analysis and visualization in my graduate research.

• I am proficient in all three languages and can easily switch between them depending on the project requirements.