» 机械工程最佳人工智能提示

机械工程最佳人工智能提示

人工智能提示 机械工程
Ai 机械工程
人工智能驱动的工具通过先进的数据分析和模式识别,提高了设计优化、仿真速度、预测性维护和材料选择的能力,为机械工程带来了革命性的变化。

通过增强人类在设计、分析方面的能力,在线人工智能工具正在迅速改变机械工程、 制造业和维护。与传统方法相比,这些人工智能系统可以更快地处理海量数据、识别复杂模式并生成新的解决方案。例如,人工智能可以帮助您优化性能和可制造性设计,加速复杂的模拟,预测材料特性,并自动执行各种分析任务。

例如,下面提供的提示有助于生成设计、加速模拟(有限元分析/有限差分分析)、预测性维护(人工智能通过分析机械的传感器数据来预测潜在故障,从而实现主动服务并最大限度地减少停机时间)、材料选择等方面的帮助。

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人工智能提示 自主机械的伦理框架

生成一个设计自主机械系统的伦理考虑框架,重点关注意外情况下的安全责任和决策。该提示可帮助工程师在复杂机械的设计阶段主动应对伦理挑战。输出为结构化的标记符文档。

输出: 

				
					Act as an Ethics Advisor specializing in AI and Autonomous Systems in Mechanical Engineering.
Your TASK is to generate a structured ethical framework for the development and deployment of an `{autonomous_system_type}` operating in `{operational_environment_description}`.
The framework should address key ethical principles and provide guidance for handling scenarios listed in `{key_decision_making_scenarios_csv}` (a CSV string like 'Scenario_ID
Description
Potential_Conflict
e.g. S1
Obstacle_Avoidance
Prioritize_occupant_safety_vs_pedestrian_safety').

**FRAMEWORK STRUCTURE (MUST be Markdown format):**

**1. Introduction**
    *   Purpose of the Ethical Framework for `{autonomous_system_type}`.
    *   Scope of application considering `{operational_environment_description}`.

**2. Core Ethical Principles** (Define and explain relevance for `{autonomous_system_type}`)
    *   **Safety & Non-Maleficence**: Minimizing harm.
    *   **Accountability & Responsibility**: Who is responsible in case of failure?
    *   **Transparency & Explainability**: How are decisions made by the system understandable?
    *   **Fairness & Non-Discrimination**: Avoiding bias in decision-making.
    *   **Privacy**: Data collection and usage.
    *   **Human Oversight**: Levels of human control and intervention.

**3. Guidelines for Decision-Making in Critical Scenarios**
    *   For EACH scenario provided in `{key_decision_making_scenarios_csv}`:
        *   **Scenario Analysis**: Briefly describe the ethical dilemma posed.
        *   **Primary Ethical Principle(s) at Stake**: Identify which of the above principles are most relevant.
        *   **Recommended Approach/Hierarchy**: Suggest a decision-making logic or prioritization. Clearly state any trade-offs.
        *   **Justification**: Explain the reasoning behind the recommended approach based on ethical principles.

**4. Design and Development Recommendations**
    *   Specific design considerations for `{autonomous_system_type}` to embed ethical behavior (e.g.
 fail-safe mechanisms
 auditable logs
 bias testing).

**5. Operational and Deployment Considerations**
    *   Monitoring ethical performance post-deployment.
    *   Procedures for addressing ethical breaches or unforeseen negative consequences.

**IMPORTANT**: The framework should be actionable and provide clear guidance for engineers. The discussion of scenarios from `{key_decision_making_scenarios_csv}` is CRUCIAL.
							

人工智能提示 研究摘要简化

将复杂的机械工程主题研究论文摘要简化为通俗易懂的语言,适合普通工程读者或与非专业人士交流。它旨在传达核心信息和意义,而不使用过多的专业术语。输出为文本。

输出: 

				
					Act as a Science Communicator with a background in Mechanical Engineering.
Your TASK is to rewrite the provided `{research_paper_abstract_text}` into a simplified version that is clear
 concise
 and understandable to a `{target_audience_description}`.
The goal is to retain the core scientific message
 findings
 and significance while minimizing technical jargon.

**1. Input Details**:
    *   `{research_paper_abstract_text}`: The original abstract from a scientific or engineering research paper.
    *   `{target_audience_description}`: A description of the intended audience for the simplified version (e.g.
 'undergraduate engineering students from other disciplines'
 'project managers with basic technical literacy'
 'marketing team for a tech product'
 'general public interested in technology').

**2. Simplification Process**:
    *   **Identify Core Message**: Read the `{research_paper_abstract_text}` to thoroughly understand:
        *   What problem was addressed? (Background/Motivation)
        *   What was the main approach or method used? (Methodology)
        *   What were the key findings? (Results)
        *   What is the significance or implication of these findings? (Conclusion/Impact)
    *   **Jargon Reduction**:
        *   Identify highly specialized technical terms and acronyms.
        *   Replace them with simpler synonyms or short explanations.
        *   If a technical term is ESSENTIAL and cannot be easily replaced
 provide a brief parenthetical or embedded explanation upon its first use.
    *   **Sentence Structure**:
        *   Break down long
 complex sentences into shorter
 more digestible ones.
        *   Use active voice where possible.
    *   **Focus and Clarity**:
        *   Remove or condense less critical details or overly nuanced points that are not essential for the `{target_audience_description}`.
        *   Focus on conveying the 'big picture' and the practical relevance if any.
        *   Use analogies or relatable examples if appropriate for the audience
 without oversimplifying to the point of inaccuracy.
    *   **Tone and Style**:
        *   Adjust the tone to be engaging and accessible for the `{target_audience_description}`.
        *   Avoid condescending language.

**3. Output Format**:
    *   The output MUST be the simplified abstract as a single block of plain text.
    *   It should typically be shorter than or roughly the same length as the original abstract
 but easier to read.
    *   Start with a sentence that clearly states the main topic or purpose in simple terms.

**Example Structure for Simplified Abstract (internal thought process
 not rigid output format)**:
    *   *The Big Problem:* [Start by explaining the general problem this research addresses in simple terms.]
    *   *What Researchers Did:* [Describe their main activity or method simply.]
    *   *What They Discovered:* [State the most important findings clearly.]
    *   *Why It Matters:* [Explain the significance or potential application/benefit for the target audience.]

**IMPORTANT**: The simplified version MUST remain factually accurate and not misrepresent the original research. The level of simplification should be appropriate for the specified `{target_audience_description}`.
							

人工智能提示 技术报告结构增强器

此提示可指导人工智能提高机械工程报告中某一章节草稿的清晰度、连贯性和技术严谨性。用户输入草稿文本和报告章节名称,就能得到一个经过改进、结构合理的版本。

输出: 

				
					Improve and restructure the following draft section of a mechanical engineering technical report titled '{section_name}': {draft_text}. Enhance clarity, technical accuracy, and flow. Use markdown formatting with appropriate headings, subheadings, and bullet points where necessary. Ensure terminology is precise and consistent. Provide your improved version only, without adding explanations.
							

人工智能提示 多语言词汇生成器

以多种目标语言生成用户提供的机械工程术语词汇表。这有助于创建一致的多语言文档和交流。输出为 CSV 格式的词汇表。

输出: 

				
					Act as an Engineering Lexicographer and Terminology Specialist.
Your TASK is to create a multilingual glossary for a list of English mechanical engineering terms provided in `{technical_terms_list_english_csv}`
 translating them into the languages specified in `{target_languages_iso_codes_csv}`.
You MUST ensure high-quality technical translations.

**1. Input Parameters**:
    *   `{technical_terms_list_english_csv}`: A CSV string containing a single column of English technical terms related to mechanical engineering. The first row can be a header like 'English_Term'.
      Example: `English_Term
Stress
Strain
Torque
Finite Element Analysis
Heat Exchanger`
    *   `{target_languages_iso_codes_csv}`: A CSV string listing the ISO 639-1 language codes for the target languages (e.g.
 'de
fr
es
ja').

**2. Glossary Generation Process**:
    *   **Parse Inputs**:
        *   Read the list of English terms from `{technical_terms_list_english_csv}`.
        *   Read the list of target language codes from `{target_languages_iso_codes_csv}`.
    *   **Translation**:
        *   For EACH English term:
            *   For EACH target language code: Translate the English term into its technically accurate equivalent in that target language. Pay close attention to context within mechanical engineering.
            *   If a direct equivalent is difficult or a term has multiple common translations
 choose the most standard one or provide a brief note if essential (though the CSV format is simple). For this task
 aim for the single best equivalent.
            *   Handle multi-word terms (e.g.
 'Finite Element Analysis') as a single concept for translation.
    *   **Formatting for CSV**:
        *   The output CSV should have 'English_Term' as its first column header.
        *   Subsequent column headers should be the language codes provided in `{target_languages_iso_codes_csv}` (e.g.
 'de'
 'fr'
 'es').
        *   Each row will contain the English term followed by its translations in the respective target languages.

**3. Output Format**:
    *   You MUST return the glossary as a single CSV formatted string.
    *   The first row MUST be the header row as described above.
    *   Ensure proper CSV escaping if any terms themselves contain commas (though this should be rare for single terms
 more likely for definitions if they were included
 but here it is terms only). Assume terms do not contain commas for simplicity.

    Example Output Structure (actual output will be a CSV string):
    `English_Term
de
fr
es`
    `Stress
Spannung
Contrainte
Esfuerzo`
    `Strain
Dehnung
Déformation
Deformación`
    `Torque
Drehmoment
Couple
Par Motor`
    _(...and so on for all terms and all requested languages)

**IMPORTANT**: The quality of translation is CRITICAL. Use your knowledge of technical terminology. If your capabilities are limited for certain highly specialized terms or language pairs
 translate to the best of your ability. Focus on common and unambiguous translations where possible.
							

人工智能提示 赠款预算说明生成器

本提示要求人工智能根据列出预算项目、成本和用途的 CSV 输入表,为机械工程拨款提案生成详细的预算理由说明。它有助于向审核人员清楚地阐述资金需求。

输出: 

				
					Given the following CSV table of budget items for a mechanical engineering grant proposal: {csv_budget_items}, generate a detailed budget justification. For each item, explain its purpose, necessity, and relevance to the project objectives. Organize the justification by budget category and use bullet points for readability. Ensure the tone is formal and persuasive, suitable for funding agency review.
							

人工智能提示 专利申请普通语言改编

将正式的专利权利要求改写成通俗易懂的解释,让没有法律或专利领域深厚技术知识的受众也能理解。这有助于传达发明的精髓。输出为文本。

输出: 

				
					Act as a Patent Analyst with skills in technical communication.
Your TASK is to adapt the provided `{patent_claim_text}` into a plain language explanation. The explanation should be understandable to an audience described by `{invention_general_description}` which also provides context about the invention's field.
The goal is to convey the SCOPE and ESSENCE of what the claim protects
 without using legal jargon or overly technical details from the claim itself unless explained.

**1. Input Details**:
    *   `{patent_claim_text}`: The full text of a single patent claim (typically Claim 1
 or another independent claim). Patent claims have a very specific structure
 preamble
 transitional phrase like 'comprising'
 and then a series of elements or limitations.
    *   `{invention_general_description}`: A brief description of what the invention is generally about and its intended audience for this explanation (e.g.
 'This invention is a new type of bicycle braking system
 explain for a product development team including marketing staff.' OR 'This is a software algorithm for optimizing CNC machining paths
 explain for mechanical engineers not specialized in software patents.').

**2. Adaptation Process**:
    *   **Deconstruct the Claim**:
        *   Identify the PREAMBLE (what the invention IS
 e.g.
 'A system for...'
 'A method of...').
        *   Identify the KEY ELEMENTS or steps listed after the transitional phrase (e.g.
 'comprising:'
 'consisting of:'). Each element defines a necessary part of the invention to be covered by the claim.
        *   Understand the RELATIONSHIPS between these elements.
    *   **Simplify Terminology**:
        *   Replace patent-specific legal jargon (e.g.
 'wherein'
 'said'
 'means for') with plain language.
        *   Simplify overly technical terms if possible
 using the `{invention_general_description}` to gauge appropriate vocabulary
 or briefly explain them.
    *   **Explain the Scope**:
        *   Clearly articulate what combination of features or steps defines the invention according to that claim. Emphasize that ALL listed key elements must typically be present for something to fall under the claim.
        *   Use analogies or simple examples if they help clarify the inventive concept
 drawing from the `{invention_general_description}`.
    *   **Focus on 'What it Does' and 'Key Unique Parts'**:
        *   Instead of just listing parts
 explain their function or purpose within the invention
 if clear from the claim.
        *   Highlight what seems to be the core inventive aspect or the main differentiators suggested by the claim's structure.
    *   **Structure for Clarity**:
        *   Use short sentences and paragraphs.
        *   Bullet points can be effective for listing the key components or features in plain language.

**3. Output Format**:
    *   The output MUST be a plain text explanation.
    *   It should start by stating what the invention generally is (drawing from the preamble and `{invention_general_description}`).
    *   Then
 it should break down what the specific claim covers.
    *   It should NOT be a legal opinion
 but an educational simplification.

    Example (Conceptual Flow):
    `This invention is about [general description from input].
Specifically
 this patent claim describes a [preamble in simple terms] that includes several key parts working together:
    *   First
 it has a [simplified element A] that does [function of A].
    *   Second
 there's a [simplified element B]
 which is connected to [element A or other part] and is responsible for [function of B].
    *   Finally
 [simplified element C] ensures that [outcome or function of C].
To be covered by this particular claim
 a system would need to have all these described features and connections.`

**IMPORTANT**: Maintain the technical and conceptual accuracy of the claim's scope. The simplification should not broaden or narrow the claim improperly
 but make its existing scope understandable. Avoid offering any legal advice or infringement opinions.
							

人工智能提示 文献综述摘要生成器

本提示要求人工智能对以标题和摘要列表形式提供的与机械工程主题相关的学术论文或文章进行总结和归纳。它可生成结构化的文献综述概述。

输出: 

				
					You are given a list of academic papers related to the mechanical engineering topic: {list_of_papers}. For each paper, summarize the key findings, methodologies, and relevance. Then synthesize the information into a coherent literature review section highlighting gaps, trends, and consensus. Use markdown formatting with headings, bullet points, and italicized paper titles. Provide citations in a consistent style.
							

人工智能提示 材料进步文献综述

总结特定类别材料的最新进展(过去 N 年),重点关注其在特定机械工程领域的应用。它能识别关键研究趋势和突破性出版物。输出为标记符摘要。

输出: 

				
					Act as a Materials Science Research Analyst specializing in Mechanical Engineering applications.
Your TASK is to conduct a concise literature review summarizing recent advancements in `{material_class_name}` with a focus on their application in `{application_area_focus}` over the past `{time_period_years}` years.
You MUST use live internet access to gather information from scholarly articles
 conference proceedings
 and reputable technical sources.

**1. Search Strategy and Information Gathering**:
    *   Define search keywords based on `{material_class_name}` (e.g.
 'High Entropy Alloys'
 'Self-healing Polymers'
 'Metal Matrix Composites'
 'Biodegradable Magnesium Alloys')
 `{application_area_focus}` (e.g.
 'aerospace structural components'
 'biomedical implants'
 'automotive lightweighting'
 'tribological coatings')
 and terms like 'advancements'
 'recent research'
 'trends'
 'review'.
    *   Query academic databases (like Google Scholar
 Scopus
 Web of Science if accessible through your tools) and leading publisher sites (e.g.
 Elsevier
 Springer
 Wiley
 Nature
 Science).
    *   Filter results to the last `{time_period_years}` years.
    *   Prioritize review articles
 highly cited research papers
 and significant breakthrough reports.

**2. Analysis and Synthesis**:
    *   **Identify Key Advancements**: What are the most significant improvements or new discoveries related to `{material_class_name}` in the context of `{application_area_focus}`? This could include:
        *   New processing or manufacturing techniques.
        *   Improved mechanical properties (strength
 toughness
 fatigue resistance
 wear resistance
 etc.).
        *   Enhanced functional properties (e.g.
 corrosion resistance
 thermal stability
 biocompatibility
 self-healing capabilities).
        *   Novel compositions or microstructures.
        *   Successful application examples or case studies.
    *   **Identify Research Trends**: What are the current hot topics or directions in research for this material-application combination?
    *   **Key Researchers/Institutions (Optional
 if prominent)**: Briefly mention any leading research groups if they consistently appear.
    *   **Seminal Publications (2-3 examples)**: Cite (author
 year
 title
 journal if possible
 or just a descriptive reference) a few highly impactful papers from the review period that exemplify these advancements.

**3. Output Format (Markdown)**:
    *   **Title**: Literature Review: Recent Advancements in `{material_class_name}` for `{application_area_focus}` (Last `{time_period_years}` Years).
    *   **1. Introduction**: Briefly introduce `{material_class_name}` and its importance in `{application_area_focus}`.
    *   **2. Key Advancements**: Use subheadings for different categories of advancements if logical
 or a narrative style. Be specific and provide examples.
    *   **3. Current Research Trends**: Summarize the dominant research directions.
    *   **4. Notable Publications**: List 2-3 key papers as described above.
    *   **5. Challenges and Future Outlook**: Briefly discuss any remaining challenges or potential future developments.
    *   **6. Sources Consulted (General Statement)**: Indicate that the review is based on publicly available scholarly literature and state if specific databases were primarily used if known by your tools.

**IMPORTANT**: The summary should be concise yet informative
 targeted at a mechanical engineer looking for an update on the topic. Ensure information is up-to-date by leveraging live internet search. Properly attribute information conceptually if not citing formally (e.g.
 'Research indicates...'
 'Studies have shown...').
							

人工智能提示 主要研究人员识别工具

确定并列出在某一机械工程专题领域高度活跃的主要研究人员或研究小组及其附属机构。这有助于寻找合作专家或相关文献。输出为 CSV 列表。

输出: 

				
					Act as a Research Intelligence Analyst specializing in mapping expertise in engineering fields.
Your TASK is to identify key researchers (or research groups) and their institutions who are highly active and influential in the `{niche_mechanical_engineering_topic}`. You should aim to provide `{number_of_results_desired}` distinct entries.
You MUST use live internet access to query academic search engines
 university research portals
 and publication databases.

**1. Search and Identification Strategy**:
    *   Formulate targeted search queries using keywords derived from `{niche_mechanical_engineering_topic}` (e.g.
 if topic is 'triboelectric nanogenerators for vibration energy harvesting'
 use these terms plus 'researcher'
 'professor'
 'publications'
 'lab').
    *   Utilize academic search engines (Google Scholar
 Semantic Scholar
 etc.) and potentially specific university/research institution websites.
    *   Look for indicators of significant contribution and activity:
        *   High number of relevant publications in reputable journals/conferences.
        *   High citation counts for relevant work.
        *   Principal Investigator (PI) status on relevant grants or projects.
        *   Keynote speaker invitations or leadership roles in relevant conferences/societies.
        *   Patents filed in the area.
    *   Prioritize individuals who have published consistently or significantly on the topic in recent years (e.g.
 last 5-10 years).

**2. Data Extraction and Formatting**:
    *   For each identified key researcher/group
 try to find:
        *   Full Name of the lead researcher (if an individual) or Research Group Name.
        *   Primary Affiliated Institution (University
 Research Institute).
        *   Department or Lab (if readily available).
        *   A key publication or a very brief summary of their focus within the `{niche_mechanical_engineering_topic}` (e.g.
 'Focus on material development for TENGs' or a specific highly cited paper title).
        *   (Optional but helpful) A URL to their official profile or lab page if easily found.

**3. Output Format (CSV)**:
    *   You MUST return the results as a single CSV string.
    *   The CSV header row MUST be: `Rank
Researcher_Or_Group_Name
Affiliated_Institution
Department_Or_Lab
Focus_Or_Key_Publication
Profile_URL`
    *   Populate the table with up to `{number_of_results_desired}` entries
 ranked roughly by perceived influence or activity if possible (this is subjective
 so best effort is fine
 or simply list them). If ranking is hard
 'Rank' can be a simple serial number.
    *   If some information (e.g.
 Department
 Profile_URL) is not easily found
 leave that cell blank in the CSV row but maintain comma separators.

    Example of a CSV row:
    `1
Prof. John Doe
Massachusetts Institute of Technology
Dept. of Mechanical Engineering
Pioneering work on XYZ sensors
http://mit.edu/johndoe`

**IMPORTANT**: The quality of results depends on effective searching and interpretation of academic output. Prioritize relevance to the `{niche_mechanical_engineering_topic}`. State that the list is based on publicly available information accessed at the time of the query.
							

人工智能提示 设计方法演变分析

分析和概述特定机械设计方法或理念的历史演变、关键里程碑和当前趋势。这有助于工程师了解设计方法的背景和进步。输出为标记符叙述或时间轴。

输出: 

				
					Act as an Engineering Design Historian and Theorist.
Your TASK is to analyze and outline the evolution of the mechanical design methodology known as `{design_methodology_name}`
 starting from approximately `{approximate_start_year_or_era}` to the present day.
You should use live internet access to research its history
 key proponents
 seminal publications/tools
 and current trends.

**1. Research and Information Gathering**:
    *   Use `{design_methodology_name}` (e.g.
 'Design for Six Sigma (DFSS)'
 'Axiomatic Design'
 'TRIZ (Theory of Inventive Problem Solving)'
 'Robust Design (Taguchi Methods)'
 'Topology Optimization') and terms like 'history'
 'evolution'
 'key developments'
 'timeline'
 'impact' in your searches.
    *   Consult scholarly articles
 books
 historical accounts
 and reputable engineering resources.
    *   Identify:
        *   Origins and foundational concepts/principles.
        *   Key individuals or organizations that developed or promoted the methodology.
        *   Significant milestones
 publications
 or software tools that marked turning points.
        *   How the methodology has been adapted or integrated with other approaches over time.
        *   Its impact on mechanical engineering practice.
        *   Current trends
 criticisms
 or areas of ongoing development related to it.

**2. Structuring the Analysis (Output as Markdown)**:
    You can choose a chronological narrative or a timeline-based structure. Ensure the following aspects are covered:
    *   **Title**: The Evolution of `{design_methodology_name}` in Mechanical Engineering.
    *   **1. Introduction**: Briefly define `{design_methodology_name}` and state its core objectives.
    *   **2. Origins and Early Development (around `{approximate_start_year_or_era}` and following period)**:
        *   Describe the context or problems that led to its development.
        *   Mention key founders/pioneers and their initial contributions.
    *   **3. Key Milestones and Expansion**:
        *   Detail significant developments
 theoretical refinements
 or practical breakthroughs in chronological order or by thematic progression.
        *   Mention any influential books
 papers
 or case studies that popularized or validated the methodology.
        *   Discuss the development of associated tools or software
 if applicable.
    *   **4. Mainstream Adoption and Impact**:
        *   When and how did it gain wider acceptance in industry and academia?
        *   What has been its primary impact on how mechanical design is approached or taught?
    *   **5. Current Status
 Trends
 and Criticisms**:
        *   How is `{design_methodology_name}` viewed or used today?
        *   Are there new interpretations
 integrations with digital tools (e.g.
 AI
MBSE)
 or extensions of the methodology?
        *   Are there any common criticisms or limitations discussed in the literature?
    *   **6. Future Outlook**:
        *   Brief speculation on its future trajectory or relevance.

**IMPORTANT**: The analysis should be insightful and provide a good historical overview for a mechanical engineer. Focus on conceptual evolution and practical impact. Ensure information is corroborated from reliable sources accessed via the internet.
							
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    1. 温特

      我们是否假设人工智能总能生成机械工程方面的最佳提示?这些提示是如何生成的?

    2. 吉赛尔

      人工智能会让人类工程师变得多余吗?

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