SKU: 56860339220

2 X ULTIMA REAR HEAVY DUTY SHOCK ABSORBER TO SUIT FORD FALCON BA BF BARRA 240T 245T 4.0L I6 SEDAN

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Description

2 X ULTIMA REAR HEAVY DUTY SHOCK ABSORBER TO SUIT FORD FALCON BA BF BARRA 240T 245T 4.0L I6 SEDANUltima Heavy Duty Shock Absorbers Built for Load, Made to Last Shock absorbers function to regulate suspension spring motion by controlling both rebound and compression to ensure a smoother ride. Beyond comfort, they play a critical role in maintaining vehicle stability, road grip and predictable handling. Built to handle heavier loads and demanding conditions, Ultima heavy duty shock absorbers provide consistent support and control across a wide

Ultima Heavy Duty Shock Absorbers – Built for Load, Made to Last

Shock absorbers function to regulate suspension spring motion by controlling both rebound and compression to ensure a smoother ride. Beyond comfort, they play a critical role in maintaining vehicle stability, road grip and predictable handling.  

Built to handle heavier loads and demanding conditions, Ultima heavy-duty shock absorbers provide consistent support and control across a wide range of applications. Designed for strength and consistency, they offer reliable performance where standard shocks fall short.


Key Features:

  • Nitrogen gas charged with increased oil capacity to reduce fade under extreme conditions.
  • Micro-polished and induction hardened piston rod for added strength and wear resistance.
  • Teflon-coated piston and seamless inner tube for smooth, consistent response.
  • NOK multi-lip oil seals with SV-3 anti-foaming hydraulic fluid for leak-free performance.
  • Includes quality rubber bushes, full fitting kit, and 3 year/100,000 km warranty.

Shop now at Mace Engineering Group, your trusted source for Ultima heavy-duty shock absorbers, performance shock struts and precision suspension upgrades.

This pair of shock absorbers suits Ford vehicles fitted with Barra Boss 220, 230, 260, 290, 335 and 345 Supercharged V8 engines.


Contents:

  • 2 X Rear shock absorber

Vehicle Fitment Guide


Notes:

  • This shock absorber is designed for vehicles with a standard ride height.
  • A single rear standard height heavy-duty shock absorber can be purchased through another listing.
  • A pair of rear lowered height heavy-duty shock absorbers can be purchased through another listing.
  • A single rear lowered height heavy-duty shock absorber can be purchased through another listing.
  • A pair of rear gas shock absorbers can be purchased through another listing.
  • A single rear gas shock absorber can be purchased through another listing.
  • The image is for illustrative purposes only.
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SKU: 56860339220

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David Escobar
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★★★★★ 1
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There nothing new in this book you will defiantly find this content in any leadership book
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Reviewed in the United States on November 16, 2019
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Reviewed in the United States on June 10, 2025
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Eddwin Paz
Grantham, US
★★★★★ 5
proper documentation from langchain
Format: Paperback
Liked the book. But Still missing Human in the loop.
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Reviewed in the United States on April 19, 2025
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B. Black
Lake Worth, US
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Concepts are sound but the code in this book is already obsolete
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Reviewed in the United States on August 5, 2025
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Joe Faith
Louisville, US
★★★★★ 5
Unlocking Practical AI: A Developer’s Guide to Building with LLMs and LangChain
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If you're a developer eager to move beyond LLM experimentation and build robust, context-aware AI applications, this book offers both inspiration and practical guidance. The authors open with a clear passion for the transformative potential of large language models (LLMs) and LangChain, framing these technologies as not just enhancements to the developer’s toolkit, but as gateways to new kinds of “thing-building” superpowers. This sense of possibility is grounded in step-by-step instruction, making the book approachable for those with Python or JavaScript backgrounds who may be new to the world of production-grade AI agents. What stands out is the book’s careful scaffolding: starting with foundational concepts like prompt-based programming and progressing to advanced capabilities such as retrieval-augmented generation, agent planning, and tool integration. Each stage is contextualized with real-world use cases, like customizing chatbots to interact with your own documents, personalizing user experiences through memory, and deploying to production with reliability and security in mind. The focus on chain-of-thought reasoning and LangGraph’s agent architecture demonstrates the authors’ awareness of the current state of AI, where context and planning are just as important as raw language ability.
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