DESCRIPTION
As the market trend shows significant demand for efficiency improvements on hub reduction axles. Gearset optimizations has reached a good stage of maturity, and further step towards effective solutions focus on churning losses reduction. Therefore we are looking for a Junior Project Engineer Internship for Cummins in Cameri!
New Noise Regulation (NNR3) identifies noise pollution levels and requires to Truck OEMs a mitigation on pass-by emissions. One of the main contributors to pass-by noise has been identified in the rear axle(s). Hub reduction axles, often applied on severe/heavy load missions, are the most critical ones because of the spiral gearsets cut and spur bevel wheel end.
Activity requires characterization of the current production axle, evaluation of the main alternatives pre-selected ( variation of stiffness joint on differential carrier, integrated crown wheel design, interposition of damping material in between axle housing and differential carrier housing etc) and selection of the most promising and cost-effective design improvement(s). Both characterization and DOE are based on numerical (modal analysis) and experimental (noise acquisition) approach.
RESPONSIBILITIES
1. Profile in mechanical engineering with strong background in automotive, aerospace, or hybrid dynamics
2. Specific skills in vehicle dynamics and system engineering
3. Proficiency in Design of Experiment (DOE) - Noise regulation knowledge is a plus but not mandatory.
4. Importance of good communication, analysis
5. Italian and English proficient.
QUALIFICATIONS
New Noise Regulation (NNR3) identifies noise pollution levels and requires to Truck OEMs a mitigation on pass-by emissions. One of the main contributors to pass-by noise has been identified in the rear axle(s). Hub reduction axles, often applied on severe/heavy load missions, are the most critical ones because of the spiral gearsets cut and spur bevel wheel end.
Activity requires characterization of the current production axle, evaluation of the main alternatives pre-selected ( variation of stiffness joint on differential carrier, integrated crown wheel design, interposition of damping material in between axle housing and differential carrier housing etc) and selection of the most promising and cost-effective design improvement(s). Both characterization and DOE are based on numerical (modal analysis) and experimental (noise acquisition) approach.
6. Applying a broad level of technical awareness across multiple engineering disciplines such as engine performance, mechanics, aerodynamics and design.
7. Approach to the problem requires: numerical modeling, using SPH software (Particleworks) for the definition of concepts to improve oil flow according to different duty cycles and experimental to detect on efficiency bench and power loss bench the behaviour of the DOE.