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The Fine Equipments FMG 985 HD is a heavy-duty grader machine in India for road construction, mining, and infrastructure tasks. It is suitable for contractors working on highways, haul roads, and large-scale grading projects. Powered by a 173 HP Cummins QSB6.7 engine, it provides high torque for heavy-duty grading and mining. The fuel-efficient engine ensures stable performance with lower operating costs. Its 3.66-meter moldboard allows for wider coverage and higher productivity with fewer passes. Advanced blade functions support precise grading and quality surface finishing. The load-sensing hydraulic system ensures accurate control with quick response for better grading results. Automatic power-shift transmission provides smooth operation and better control under load. A heavy-duty frame and tandem axle improve stability in tough terrains. The operator cabin prioritizes comfort, safety, and visibility. The Fine FMG 985 HD motor grader price in India is expected between ₹55 and ₹75 lakh. It is a strong investment for buyers looking for powerful, durable, and high-performance grading machines.
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The Cat 120 Motor Grader is a versatile construction grader machine in India, suitable for road construction, maintenance, and land development. It provides precise control, consistent performance, and good fuel efficiency across different job conditions. Powered by the Cat C7.1 engine producing 130 HP, it offers a balanced power-to-weight ratio with optimized fuel consumption. Eco mode helps reduce fuel use during lighter operations. The 3.7 m moldboard and direct drive powershift transmission (9F+6R) ensure smooth grading, efficient material handling, and faster work cycles. Advanced technologies like Cat Grade with Cross Slope and Stable Blade improve accuracy and reduce rework, enhancing productivity overall. Manufactured by Caterpillar Inc., it offers durability and global support. The Cat 120 motor grader price in India is around ₹1.2–1.5 Cr. It makes a great choice for contractors aiming for high productivity, low downtime, and efficient grading performance.
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